| [1] |
E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, and J. M.
Ogden.
Pyramid methods in image processing.
RCA Engineer, 29(6):33-41, November 1984. [ bib ] |
| [2] |
J. K. Aggarwal and N. Nandhakumar.
On the computation of motion from sequences of images - a review.
Proceedings of the IEEE, 76(8):917-935, August 1988. [ bib ] |
| [3] |
M. Agrawal and L. Davis.
Window-based, discontinuity preserving stereo.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 66-73, Washington, United States,
June-July 2004. [ bib ] |
| [4] |
L. Alvarez, R. Deriche, T. Papadopoulos, and J. Sánchez.
Symmetrical dense optical flow estimation with occlusions detection.
In European Conference on Computer Vision, volume 1, pages
721-735, Copenhagen, Denmark, May 2002. [ bib ] |
| [5] |
L. Alvarez, R. Deriche, J. Sánchez, and J. Weickert.
Dense disparity map estimation respecting image discontinuities: A
PDE and scale-space based approach.
Research report RR-3874, Institut National de Recherche en
Informatique et en Automatique, January 2000. [ bib ] |
| [6] |
P. Anandan.
A computational framework and an algorithm for the measurement of
visual motion.
International Journal of Computer Vision, 2(3):283-310,
January 1989. [ bib ] |
| [7] |
P. Arcara, L. Di Stefano, S. Mattocia, C. Melchiorri, and G. Vassura.
Perception of depth information by means of a wire-actuated haptic
interface.
In International Conference on Robotic and Automation, San
Francisco, United States, April 2000. [ bib ] |
| [8] |
X. Armangué and J. Salvi.
Overall view regarding fundamental matrix estimation.
International Journal of Image and Vision Computing,
21(2):205-220, February 2003. [ bib ] |
| [9] |
P. Aschwanden and W. Guggenbül.
Experimental results from a comparative study on correlation type
registration algorithms.
In W. Förstner and S. Ruwiedel, editors, Robust computer vision:
Quality of Vision Algorithms, pages 268-282. Wichmann, Karlsruhe, Germany,
March 1992. [ bib ] |
| [10] |
N. Ayache.
Vision stéréoscopique et perception multisensorielle -
Applications à la robotique mobile.
Science informatique. InterEditions, Paris, France, May 1989. [ bib ] |
| [11] |
J. Banks and M. Bennamoun.
Reliability analysis of the rank transform for stereo matching.
IEEE Transactions on Systems, Man and Cybernetics,
31(6):870-880, December 2001. [ bib ] |
| [12] |
S. T. Barnard.
Stochastic stereo matching over scale.
International Journal of Computer Vision, 3(1):17-32, May
1989. [ bib ] |
| [13] |
P. N. Belhumeur and D. Mumford.
A bayesian treatment of the stereo correspondence problem using
half-occluded regions.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 506-512, Urbana, United States, June 1992. [ bib ] |
| [14] |
T. Belli, M. Cord, and S. Philipp-Foliguet.
Colour contribution for stereo image matching.
In International Conference on Color in Graphics and Image
Processing, pages 317-322, Saint-Étienne, France, October 2000. [ bib ] |
| [15] |
R. E. Bellman and S. E. Dreyfus.
La programmation dynamique et ses applications.
Dunod, Paris, France, 1962. [ bib ] |
| [16] |
S. Benhimane and E. Malis.
Mise en correspondance d'images à différentes résolutions à l'aide
d'invariants aux paramètres intrinsèques.
In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et
Intelligence Artificielle, RFIA, volume 2, pages 585-594, Toulouse, France,
January 2004. [ bib ] |
| [17] |
S. Birchfield and C. Tomasi.
Depth discontinuities by pixel-to-pixel stereo.
In IEEE International Conference on Computer Vision, pages
1073-1080, Bombay, India, January 1998. [ bib ] |
| [18] |
S. Birchfield and C. Tomasi.
Multiway cut for stereo and motion with slanted surfaces.
In IEEE International Conference on Computer Vision, volume 1,
pages 489-495, Kerkyra, Greece, September 1999. [ bib ] |
| [19] |
H. Bischof, E. Bertin, and P. Bertolline.
Voronoi pyramids and hopfield networks.
In International Conference on Pattern Recognition, volume 3,
pages 330-333, Jerusalem, Israël, October 1994. [ bib ] |
| [20] |
M. J. Black and P. Anandan.
A framework for the robust estimation of optical flow.
In IEEE International Conference on Computer Vision, pages
231-236, Berlin, Germany, May 1993. [ bib ] |
| [21] |
M. J. Black and A. Rangarajan.
On the unification of line processes, outlier rejection, and robust
statistics with applications in early vision.
International Journal of Computer Vision, 19(1):57-91, July
1996. [ bib ] |
| [22] |
M. Bleyer and M. Gelautz.
A layered stereo algorithm using image segmentation and global
visibility constraints.
In IEEE International Conference on Image Processing, volume 5,
pages 2997-3000, Singapour, October 2004. [ bib ] |
| [23] |
M. Bleyer and M. Gelautz.
Graph-based surface reconstruction from stereo pairs using image
segmentation.
In Videometrics VIII, volume SPIE-5665, pages 288-299, San
Jose, United States, January 2005. [ bib ] |
| [24] |
A. F. Bobick and S. S. Intille.
Large occlusion stereo.
International Journal of Computer Vision, 33(3):181-200,
September 1999. [ bib ] |
| [25] |
A. Bovyrin, V. Eruhimov, S. Molinov, V. Mosyagin, and V. Pisarevsky.
Fast and robust dense stereo correspondence by column segmentation.
In IEEE International Conference on Image Processing, pages
1033-1036, Barcelona, Spain, September 2003. [ bib ] |
| [26] |
Y. Boykov, O. Veksler, and R. Zabih.
Fast approximate energy minimization via graph cuts.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
23(11):1222-1239, November 2001. [ bib ] |
| [27] |
P. Brigger, F. Müller, K. Illgner, and M. Unser.
Centered pyramids.
IEEE Transactions on Image Processing, 8(9):1254-1264,
September 1999. [ bib ] |
| [28] |
R. Brockers, M. Hund, and B. Mertsching.
A fast cost relaxation stereo algorithm with occlusion detection for
mobile robot applications.
In Vision, Modeling and Vizualisation, pages 47-53, Stanford,
United States, November 2004. [ bib ] |
| [29] |
R. Brockers, M. Hund, and B. Mertsching.
Fast stereo vision for mobile robots by global minima of cost
functions.
In Vision, Modeling and Vizualisation, pages 85-89, Stanford,
United States, November 2004. [ bib ] |
| [30] |
M. Z. Brown, D. Burschka, and G. D. Hager.
Advances in computational stereo.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
25(8):993-1008, August 2003. [ bib ] |
| [31] |
P. J. Burt and E. H. Adelson.
The laplacian pyramid as a compact image code.
IEEE Transactions on Communications, 31(4):532-540, April
1983. [ bib ] |
| [32] |
J. F. Canny.
A computational approach to edge detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
8(6):679-698, November 1986. [ bib ] |
| [33] |
G. Carneiro and A. D. Jepson.
Pruning local feature correspondences using shape context.
In International Conference on Pattern Recognition, volume 3,
pages 16-19, Cambridge, United Kingdom, August 2004. [ bib ] |
| [34] |
N. Chehata.
Interprétation de scènes urbaines à partir d'images satellitaires
THR : reconstruction de facettes 3D et optimisation globale 3D.
Bulletin d'information scientifique et technique de l'IGN,
75:29-40, January 2005. [ bib ] |
| [35] |
S. D. Cochran and G. Médioni.
3-D surface description from binocular stereo.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
14(10):981-994, October 1992. [ bib ] |
| [36] |
D. Comaniciu and P. Meer.
Distribution free decomposition of multivariate data.
Pattern Analysis and Applications, 2(1):22-30, April 1999. [ bib ] |
| [37] |
G. S. Cox.
Template matching and measures of match in image processing.
Technical report, University of Cape Town, South Africa, July 1995. [ bib | http ] |
| [38] |
I. J. Cox.
Stereo without disparity gradient smoothing: a bayesian sensor fusion
solution.
In British Machine Vision Conference, pages 337-346, Leeds,
United Kingdom, September 1992. [ bib ] |
| [39] |
A. Criminisi, J. Shotton ans A. Blake, C. Rother, and P. H. S. Torr.
Efficient dense-stereo with occlusions and new view synthesis by four
state dp for gaze correction.
International Journal of Computer Vision, 2005.
submitted. [ bib ] |
| [40] |
A. Criminisi, J. Shotton, A. Blake, C. Rother, and P. H. S. Torr.
Efficient dense-stereo and novel-view synthesis for gaze manipulation
in one-to-one teleconferencing.
Technical report MSR-TR-2003-59, MicroSoft Research, Cambridge,
United Kingdom, September 2003. [ bib ] |
| [41] |
A. Crouzil.
Perception du relief et du mouvement par analyse d'une séquence
stéréoscopique d'images.
Thesis, Université Paul Sabatier, Toulouse, France, September 1997. [ bib ] |
| [42] |
A. Crouzil, X. Descombes, and J.-D. Durou.
A multiresolution approach for shape from shading coupling
deterministic and stochastic optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
25(11):1416-1421, November 2003. [ bib ] |
| [43] |
A. Crouzil, L. Massip-Pailhes, and S. Castan.
A new correlation criterion based on gradient fields similarity.
In International Conference on Pattern Recognition, volume 1,
pages 632-636, Vienna, Austria, August 1996. [ bib ] |
| [44] |
C. Q. Davis, Z. Z. Karu, and D. M. Freeman.
Equivalence of subpixel motion estimators based on optical flow and
block matching.
In IEEE Symposium on Computer Vision, pages 7-12, Coral
Gables, United States, November 1995. [ bib ] |
| [45] |
L. S. Davis and A. Rosenfeld.
Cooperating processes for low-level vision: A survey.
Artificial Intelligence, 17(1-3):245-263, August 1981. [ bib ] |
| [46] |
O. De Joinville, G. Maillet, H. Maître, and M. Roux.
Évaluation a priori de la qualité d'un MNS.
In Actes du congrès francophone de Vision par Ordinateur,
ORASIS, pages 67-76, Cahors, France, June 2001. [ bib ] |
| [47] |
Y. Deng, Q. Yang, X. Lin, and X. Tang.
A symmetric patch-based correspondence model for occlusion handling.
In IEEE International Conference on Computer Vision, Beijing,
China, October 2005.
to appear. [ bib ] |
| [48] |
X. Descombes.
Méthodes stochastiques en analyse d'image : des champs de Markov
aux processus ponctuels marqués.
Thesis, Université de Nice - Sophia Antipolis, France, February
2004. [ bib ] |
| [49] |
F. Devernay.
Vision stéréoscopique et propriétés différentielles des
surfaces.
Thesis, Institut National Polytechnique, Grenoble, France, February
1997. [ bib ] |
| [50] |
F. Devernay and O. Faugeras.
Shape from stereo using fine correlation: Method and error analysis.
International Journal of Image and Vision Computing, 2005.
submitted. [ bib ] |
| [51] |
U. R. Dhond and J. K. Aggarwal.
Stereo matching in the presence of narrow occluding objects using
dynamic disparity search.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
17(7):719-724, July 1995. [ bib ] |
| [52] |
L. Di Stefano, S. Mattocia, G. Neri, and D. Piccinini.
Temporal filtering of diparity measurements.
In International Conference on Image Analysis and Processing,
pages 145-150, Palerme, Italia, September 2001. [ bib ] |
| [53] |
Y. Dufournaud, C. Schmid, and R. Horaud.
Matching images with different resolutions.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 612-618, Hilton Head Island, United
States, June 2000. [ bib ] |
| [54] |
G. Egnal and R. P. Wildes.
Detecting binocular half-occlusions : Empirical comparisons of four
approaches.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 466-473, Hilton Head Island, United
States, June 2000. [ bib ] |
| [55] |
G. Egnal and R. P. Wildes.
Detecting binocular half-occlusions : Empirical comparisons of five
approaches.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
24(8):1127-1133, August 2002. [ bib ] |
| [56] |
M. P. Eklund and A. A. Farag.
Robust correspondence methods for stereo vision.
International Journal of Pattern Recognition and Artificial
Intelligence, 17(7):1059-1079, November 2003. [ bib ] |
| [57] |
R. Faghihi.
Mise en correspondance SPECT-CT par conditions de
consistance.
Thesis, Université Joseph Fourier, La Tronche, France, November 2002. [ bib ] |
| [58] |
L. Falkenhagen.
Hierarchical block-based disparity estimation considering
neighbourhood constraints.
In International Workshop on Synthetic-Natural Hybrid Coding and
3D Imaging, Rhodes, Greece, September 1997. [ bib ] |
| [59] |
D. J. Fleet, A. D. Jepson, and M. R. M. Jenkin.
Phase-based disparity measurement.
Computer Vision, Graphics, and Image Processing: Image
Understanding, 53(2):198-210, March 1991. [ bib ] |
| [60] |
G. D. Forney.
The viterbi algorithm.
Proceedings of the IEEE, 61(3):268-278, March 1973. [ bib ] |
| [61] |
S. Forstmann, Y. Kanou, J. Ohya, S. Thuering, and A. Schmitt.
Real-time stereo by using dynamic programming.
In Workshop on real-time 3D sensors and their use, IEEE
Computer Society Conference on Computer Vision and Pattern Recognition,
volume 3, pages 29-36, Washington, United States, June-July 2004. [ bib ] |
| [62] |
P. Fua.
Combining stereo and monocular information to compute dense depth
maps that preserve depth discontinuities.
In International Joint Conference on Artificial Intelligence,
pages 1292-1298, Sydney, Australia, August 1991. [ bib ] |
| [63] |
P. Fua.
A parallel stereo algorithm that produces dense depth maps and
preserves image features.
Journal of Machine Vision and Applications, 6(1):35-49,
January 1993. [ bib ] |
| [64] |
F. Fuchs.
Contribution à la reconstruction du bâti en milieu urbain, à
l'aide d'images aériennes stéréoscopiques à grande échelle. Étude d'une
approche structurelle.
Thesis, Université Réné Descartes - Paris V, France, April 2001. [ bib ] |
| [65] |
A. Fusiello, E. Trucco, and A. Verri.
A compact algorithm for rectification of stereo pairs.
Journal of Machine Vision and Applications, 12(1):16-22, July
2000. [ bib ] |
| [66] |
D. Garcia.
Mesures de formes et de champs de déplacements tridimensionnels
par stéréo-corrélation d'images.
Thesis, École des Mines d'Albi, France, December 2001. [ bib ] |
| [67] |
R. Garcia, X. Cufi, and J. Batle.
Detection of matching in a sequence of underwater images through
texture analysis.
In IEEE International Conference on Image Processing, volume 1,
pages 361-364, Thessaloniki, Greece, October 2001. [ bib ] |
| [68] |
D. Geiger, B. Ladendorf, and A. Yuille.
Occlusions and binocular stereo.
In IEEE International Conference on Image Processing,
volume 14, pages 211-226, Washington, United States, October 1995. [ bib ] |
| [69] |
S. Geman and D. Geman.
Stochastic relaxation, gibbs distributions and the bayesian
restoration of images.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
6(6):721-741, November 1984. [ bib ] |
| [70] |
M. A. Gennert.
Brightness-based stereo matching.
In IEEE International Conference on Computer Vision, pages
138-143, Tampa, United States, December 1988. [ bib ] |
| [71] |
B. Georgescu and P. Meer.
Point matching under large image deformations and illumination
changes.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
26(6):674-688, June 2004. [ bib ] |
| [72] |
A. Ghafoor, R. Naveed Iqbal, and S. Shoad Khan.
Image matching using distance transform.
In Scandinavian Conference on Image Analysis, pages 654-660,
Göteborg, Sweden, June 2003. [ bib ] |
| [73] |
M. Gong.
Motion estimation using dynamic programming with selective path
search.
In International Conference on Pattern Recognition, volume 4,
pages 203-206, Cambridge, United Kingdom, August 2004. [ bib ] |
| [74] |
M. Gong and Y.-H. Yang.
Genetic-based stereo algorithm and disparity map evaluation.
International Journal of Computer Vision, 47(1-3):63-77,
April 2002. [ bib ] |
| [75] |
M. Gong and Y.-H. Yang.
Fast stereo matching using reliability-based dynamic programming and
consistency contraints.
In IEEE International Conference on Computer Vision, volume 1,
pages 610-617, Nice, France, October 2003. [ bib ] |
| [76] |
M. Gong and Y.-H. Yang.
Fast unambiguous stereo matching using reliability-based dynamic
programming.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
27(6):998-1003, June 2005. [ bib ] |
| [77] |
M. Gong and Y.-H. Yang.
Near real-time reliable stereo matching using programmable graphics
hardware.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 924-931, San Diego, United States,
June 2005. [ bib ] |
| [78] |
V. Gouet, P. Montesinos, R. Deriche, and D. Pelé.
Évaluation de détecteurs de points d'intérêt pour la couleur.
In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et
Intelligence Artificielle, RFIA, pages 257-266, Paris, France, February
2000. [ bib ] |
| [79] |
V. Gouet, P. Montesinos, and D. Pel.
A fast matching method for color uncalibrated images using
differential invariants.
In British Machine Vision Conference, pages 367-376,
Southampton, United Kingdom, September 1998. [ bib ] |
| [80] |
J. Y. Goulermas and P. Liatsis.
A collective-based adaptive symbiotic model for surface
reconstruction in area-based stereo.
IEEE Transactions on Evolutionary Computation, 7(5):482-502,
October 2003. [ bib ] |
| [81] |
P. Gros, G. MacLean, R. Delon, R. Mohr, C. Schmid, and G. Mistler.
Utilisation de la couleur pour l'appariement et l'indexation
d'images.
Research report RR-3269, Institut National de Recherche en
Informatique et en Automatique, September 1997. [ bib ] |
| [82] |
S. Gutiérrez and J. Luis Marroquín.
Robust approach for disparity estimation in stereo vision.
International Journal of Image and Vision Computing,
22(3):183-195, March 2004. [ bib ] |
| [83] |
M. Gökstorp and C.-J. Westelius.
Multiresolution differential-based disparity estimation.
In Scandinavian Conference on Image Analysis, pages 67-76,
Uppsala, Sweden, June 1995. [ bib ] |
| [84] |
K.-P. Han, K.-W. Song, E.-Y. Chung, S.-J. Cho, and Y.-H. Ha.
Stereo matching using genetic algorithm with adaptive chromosomes.
The Journal of the Pattern Recognition Society,
34(9):1729-1740, September 2001. [ bib ] |
| [85] |
C. Harris and M. Stephens.
A combined corner and edge detector.
In Alvey Vision Conference, pages 147-151, Manchester, United
Kingdom, January 1988. [ bib ] |
| [86] |
R. I. Hartley.
Theory and practice of projective rectification.
International Journal of Computer Vision, 35(2):115-127,
November-December 1999. [ bib ] |
| [87] |
D. Hasler, L. Sbaiz, S. Süsstrunk, and M. Vetterli.
Outlier modelling in image matching.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
25(3):301-315, March 2003. [ bib ] |
| [88] |
Y. Haxhimusa and W. G. Kropatsch.
Paths lengths in stochastic graph image pyramid.
In Workshop of the Austrian Association for Pattern
Recognition, pages 79-86, Graz, Austria, September 2002. [ bib ] |
| [89] |
G. Hermosillo Valadez.
Variational Methods for Multimodal Image Matching.
Thesis, Université de Nice - Sophia Antipolis, France, May 2002. [ bib ] |
| [90] |
H. Hirschmüller, P. R. Innocent, and J. Garibaldi.
Real-time correlation-based vision with reduced border errors.
International Journal of Computer Vision, 47(1-3):229-246,
April-June 2002. [ bib ] |
| [91] |
J. Holland.
Adaptation in Natural and Artificial Systems: An Introductory
Analysis with Applications to Biology, Control and, Artificial Intelligence.
The Massachusetts Institute of Technology, MIT Press, 1975. [ bib ] |
| [92] |
L. Hong and G. Chen.
Segment-based stereo matching using graph cuts.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 74-81, Washington, United States,
June-July 2004. [ bib ] |
| [93] |
J. J. Hopfield.
Neural networks and physical systems with emergent collective
computational abilities.
Proceedings of the National Academy of Sciences,
79(8):2254-2258, April 1982. [ bib ] |
| [94] |
R. Horaud and O. Monga.
Vision par ordinateur, outils fondamentaux.
Traité des nouvelles technologies, série Informatique. Hermes, Paris,
France, 1993. [ bib ] |
| [95] |
R. Horaud and T. Skordas.
Stereo correspondence trough feature grouping and maximal cliques.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
11(11):1168-1180, November 1989. [ bib ] |
| [96] |
J. Hu and P. Siy.
Stereo correspondence through multiple constraint neural networks.
In IEEE International Conference on Neural Networks, volume 2,
pages 332-342, San Francisco, United States, March 1993. [ bib ] |
| [97] |
S. S. Intille and A. F. Bobick.
Disparity-space images and large occlusion stereo.
In European Conference on Computer Vision, volume 1, pages
179-186, Stockholm, Sweden, May 1994. [ bib ] |
| [98] |
H. Ishikawa.
Global Optimization Using Embedded Graphs.
PhD thesis, New-York University, United States, May 2000. [ bib ] |
| [99] |
H. Ishikawa and D. Geiger.
Occlusions, discontinuities, and epipolar lines in stereo.
In European Conference on Computer Vision, volume 1, pages
232-248, freiburg, Germany, June 1998. [ bib ] |
| [100] |
A. Jagmohan, M. Singh, and N. Ahuja.
Dense stereo matching using kernel maximum likelihood estimation.
In International Conference on Pattern Recognition, volume 3,
pages 28-31, Cambridge, United Kingdom, August 2004. [ bib ] |
| [101] |
H. Jahn.
Binocular stereo matching by local attraction.
In International Conference on Computer Analysis of Images and
Patterns, pages 676-683, Warsaw, Poland, September 2001. [ bib ] |
| [102] |
C. V. Jawahar and P. J. Narayanan.
Generalised correlation for multi-feature correspondence.
The Journal of the Pattern Recognition Society,
35(6):1303-1313, June 2002. [ bib ] |
| [103] |
H. Jibrini, M. Pierrot-Deseilligny, N. Paparoditis, and H. Maître.
Détermination d'une surface polyédrique continue optimale à partir
d'un fouillis de plans.
In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et
Intelligence Artificielle, RFIA, volume 1, pages 175-183, Toulouse, France,
January 2004. [ bib ] |
| [104] |
J. M. Jolion.
Stochastic pyramid revisited.
Pattern Recognition Letters, 24(8):1335-1342, May 2003. [ bib ] |
| [105] |
D. G. Jones and J. Malik.
A computational framework for determining stereo correspondence from
a set of linear spatial filters.
International Journal of Image and Vision Computing,
10(10):699-708, December 1992. [ bib ] |
| [106] |
G. A. Jones.
Constraint, optimization, and hierarchy: Reviewing stereoscopic
correspondence of complex features.
International Journal of Computer Vision, 65(1):57-58, January
1997. [ bib ] |
| [107] |
I.-K. Jung and S. Lacroix.
A robust interest points matching algorithm.
In IEEE International Conference on Computer Vision, volume 2,
pages 538-543, Vancouver, Canada, July 2001. [ bib ] |
| [108] |
F. Jurie.
Reconnaissance d'objets volumiques par mise en correspondance
d'indices visuels.
Traitement du signal, 18(5-6):321-345, 2001. [ bib ] |
| [109] |
T. Kanade, A. Yoshida, K. Oda, H. Kano, and M. Tanaka.
A stereo machine for video-rate dense depth mapping and its new
applications.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 196-202, San Francisco, United States, June
1996. [ bib ] |
| [110] |
S. Kaneko, I. Murase, and S. Igarashi.
Robust image registration by increment sign correlation.
The Journal of the Pattern Recognition Society,
35(10):2223-2234, October 2002. [ bib ] |
| [111] |
S. B. Kang, R. Szeliski, and J. Chai.
Handling occlusions in dense multi-view stereo.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 103-110, Kauai, United States,
December 2001. [ bib ] |
| [112] |
A. Kaplan and E. Rivlin.
Robust feature matching across widely separated color images.
In International Conference on Pattern Recognition, volume 2,
pages 136-139, Cambridge, United Kingdom, August 2004. [ bib ] |
| [113] |
C. Kim, K. M. Lee, B. T. Choi, and S. U. Lee.
A dense stereo matching using two-pass dynamic programming with
generalized ground control points.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 1075-1082, San Diego, United States,
June 2005. [ bib ] |
| [114] |
R. Koch, M. Pollefeys, and L. Van Gool.
Multi viewpoint stereo from uncalibrated video sequences.
In European Conference on Computer Vision, volume 1, pages
55-71, freiburg, Germany, June 1998. [ bib ] |
| [115] |
V. Kolmogorov and R. Zabih.
Computing visual correspondence with occlusions using graph cuts.
In IEEE International Conference on Computer Vision, volume 2,
pages 508-515, Vancouver, Canada, July 2001. [ bib ] |
| [116] |
V. Kolmogorov and R. Zabih.
Multi-camera scene reconstruction via graph cuts.
In European Conference on Computer Vision, volume 2, pages
82-96, Copenhagen, Denmark, May 2002. [ bib ] |
| [117] |
A. Koschan.
Dense stereo correspondence using polychromatic block matching.
In International Conference on Computer Analysis of Images and
Patterns, volume 719 of Lecture Notes in Computer Science, pages
538-542, Budapest, Hungary, September 1993. [ bib ] |
| [118] |
A. Koschan and V. Rodehorst.
Dense depth maps by active color illumination and image pyramids.
In F. Solina, W. G. Kropatsch, R. Klette, and R. Bajcsy, editors,
Advances in Computer Vision, pages 137-148. Springer-Verlag,
New-York, October 1997. [ bib ] |
| [119] |
J. Kostková and R. Sára.
Stable matching based on disparity components.
In Computer Vision Winter Workshop, pages 140-148, Bad Ausse,
Austria, February 2002. [ bib ] |
| [120] |
J. Kostková and R. Sára.
Stratified dense matching for stereopsis in complex scenes.
In British Machine Vision Conference, volume 1, pages 339-348,
Norwich, United Kingdom, September 2003. [ bib ] |
| [121] |
W. G. Kropatsch.
Building irregular pyramids by dual graph contraction.
IEE Proceedings Vision, Image and Signal Processing Journal,
142(6):366-374, December 1995. [ bib ] |
| [122] |
S. Lai.
Robust image matching under partial occlusion and spatially varying
illumination change.
Computer Vision and Image Understanding, 78(1):84-98, April
2000. [ bib ] |
| [123] |
M. Lantagne, M. Parizeau, and R. Bergevin.
VIP : Vision tool for comparing images of people.
Vision Interface, 2003. [ bib ] |
| [124] |
L. Laurence.
Navigation sous-marine référencée terrain par mise en
correspondance de cartes bathymétriques.
Thesis, Université de Nice - Sophia Antipolis, France, January 1998. [ bib ] |
| [125] |
G. Le Besnerais and H. Oriot.
Disparity estimation for high resolution stereoscopic reconstruction
using GNC approach.
In IEEE International Conference on Image Processing, volume 2,
pages 594-597, Chicago, United States, October 1998. [ bib ] |
| [126] |
S. H. Lee, Y. Kanatsugu, and J.-I Park.
MAP-based stochastic diffusion for stereo matching and line fields
estimation.
International Journal of Computer Vision, 47(1-3):195-218,
April 2002. [ bib ] |
| [127] |
C. Leung, B. Appleton, B. C. Lovell, and C. Sun.
An energy minimisation approach to stereo-temporal dense
reconstruction.
In International Conference on Pattern Recognition, volume 4,
pages 72-75, Cambridge, United Kingdom, August 2004. [ bib ] |
| [128] |
C. Leung, B. Appleton, and C. Sun.
Fast stereo matching by iterated dynamic programming and quadtree
subregioning.
In British Machine Vision Conference, volume 4, pages 97-106,
London, United Kingdom, August 2004. [ bib ] |
| [129] |
M. Lhuillier and L. Quan.
Robust dense matching using local and global geometric constraints.
In International Conference on Pattern Recognition, volume 1,
pages 968-972, Barcelona, Spain, September 2000. [ bib ] |
| [130] |
M. Lhuillier and L. Quan.
Reconstruction quasi-dense de modèles 3d à partir d'une séquence
d'images.
In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et
Intelligence Artificielle, RFIA, volume 2, pages 895-904, Toulouse, France,
January 2004. [ bib ] |
| [131] |
M. H. Lin.
Surfaces with Occlusions from Layered Stereo.
PhD thesis, Stanford University, United States, 2002. [ bib ] |
| [132] |
J. L. Lotti and G. Giraudon.
Correlation algorithm with adaptive window for aerial image in stereo
vision.
In European Symposium on Satellite Remote Sensing, pages
2315-2325, Rome, Italia, September 1994. [ bib ] |
| [133] |
A. Luo and H. Burkhardt.
An intensity-based cooperative bidirectional stereo matching with
simultaneous detection of discontinuities and occlusions.
International Journal of Computer Vision, 15(3):171-188, July
1995. [ bib ] |
| [134] |
D. Maier, A. Rössle, J. Hesser, and R. Männer.
Dense disparity maps respecting occlusions and object separation
using partial differential equations.
In Digital Image Computing: Techniques and Applications, pages
613-622, Sydney, Australia, December 2003. [ bib ] |
| [135] |
R. Manduchi and C. Tomasi.
Distinctiveness maps for image matching.
In International Conference on Image Analysis and Processing,
pages 26-31, Venice, Italia, September 1999. [ bib ] |
| [136] |
D. Marr and T. Poggio.
Cooperative computation of stereo disparity.
Science, 194(4262):283-287, 1976. [ bib ] |
| [137] |
J. Matas, O. Chum, M. Urban, and T. Pajdla.
Robust wide baseline stereo from maximally stable extremal regions.
In British Machine Vision Conference, volume 1, pages 384-393,
Cardiff, United Kingdom, September 2002. [ bib ] |
| [138] |
H. Mayer.
Analysis of means to improve cooperative disparity estimation.
In ISPRS Conference on Photogrammetric Image Analysis, pages
25-31, Technical University of Munich, Germany, September 2003. [ bib ] |
| [139] |
Z. Megyesi and D. Chetverikov.
Affine propagation for surface reconstruction in wide baseline
stereo.
In International Conference on Pattern Recognition, volume 4,
pages 76-79, Cambridge, United Kingdom, August 2004. [ bib ] |
| [140] |
C. Menard and W. G. Kropatsch.
Adaptive stereo matching in correlation scale-space.
In International Conference on Image Analysis and Processing,
volume 2, pages 677-684, Florence, Italia, September 1997. [ bib ] |
| [141] |
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, and A. H. Teller.
Equation of state calculations by fast computing machines.
The Journal of Chemical Physics, 21(6):1087-1092, June 1953. [ bib ] |
| [142] |
R. Mohan, G. Medioni, and R. Nevatia.
Stereo error detection, correction, and evaluation.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
11(2):113-120, February 1989. [ bib ] |
| [143] |
A. Montanvert, P. Meer, and A. Rosenfeld.
Hierarchical image analysis using irregular tessellations.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
13(4):307-316, April 1991. [ bib ] |
| [144] |
A. Muñoz Barrutia, T. Blu, and M. Unser.
Non-euclidean pyramids.
In Mathematical Imaging: Wavelet Applications in Signal and
Image Processing, volume SPIE-4119, pages 710-720, San Diego, United
States, July 2000. [ bib ] |
| [145] |
K. Mühlmann, D. Maier, J. Hesser, and R. Männer.
Calculating dense disparity maps from color stereo images, an
efficient implementation.
In IEEE Workshop on Stereo and Multi-Baseline Vision, pages
30-36, Kauai, United States, June 2001. [ bib ] |
| [146] |
M. L. Nack.
Temporal registration of multispectral digital satellite images using
their edge images.
In AAS/AIAA/Astrodynamics Specialist Conference, pages papier
AAS75-104, Nassau, Bahamas, July 1975. [ bib ] |
| [147] |
N. M. Nasrabadi.
A stereo vision technique using curve-segments and relaxation
matching.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
14(5):566-572, May 1992. [ bib ] |
| [148] |
N. M. Nasrabadi and C. Y. Choo.
Hopfield network for stereo vision correspondence.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
3(1):5-13, January 1992. [ bib ] |
| [149] |
H. K. Nishihara and P. A. Crossley.
Measuring photographic overlay accuracy and critical dimensions by
correlating binarized laplacian of gaussian convolutions.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
10(1):17-30, January 1988. [ bib ] |
| [150] |
Y.-I. Ohta and T. Kanade.
Stereo by intra- and inter-scanline search using dynamic programming.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
7(2):139-154, March 1985. [ bib ] |
| [151] |
J.-J. Orteu, D. Garcia, and M. Devy.
Mesure de formes et de champs de déplacements tridimensionnels par
stéréo-corrélation d'images : applications en mécanique expérimentale.
Photoniques - La Revue de la Société Française d'Optique,
10:34-43, June 2003. [ bib ] |
| [152] |
G. Pajares and J. M. De La Cruz.
Stereovision matching through support vector machines.
Pattern Recognition Letters, 24(15):2575-2583, November 2003. [ bib ] |
| [153] |
H.-P. Pan.
General stereo matching using symmetric complex wavelets.
In Wavelet Applications in Signal and Image Processing IV,
volume SPIE-2825, pages 697-721, Denver, United States, August 1996. [ bib ] |
| [154] |
N. Paparoditis, M. Cord, M. Jordan, and J.-P. Cocquerez.
Building detection and reconstruction from mid- and high-resolution
aerial imagery.
Computer Vision and Image Understanding, 72(2):122-142,
November 1998. [ bib ] |
| [155] |
S. Paris and F. Sillion.
Optimisation à base de flot de graphe pour l'acquisition
d'informations 3d à partir de séquences d'images.
In Actes des 15ème journées de l'AFIG, Association
Française d'Informatique Graphique, pages 165-182, Villeurbanne, France,
December 2002. [ bib ] |
| [156] |
C. S. Park and H. W. Park.
A robust stereo disparity estimation using adaptive window search and
dynamic programming search.
The Journal of the Pattern Recognition Society,
34(12):2573-2576, December 2001. [ bib ] |
| [157] |
S. Y. Park, J. S. Kim, S. H. Lee, N. I. Cho, G.-S. Lee, and
C.-H. Ahn.
Composition of high-resolution stereo images from hybrid stereo
system.
In International Workshop on Advanced Image Technology,
Nagasaki, Japan, January 2003. [ bib ] |
| [158] |
J. Pearl.
Probabilistic Reasoning in Intelligent Systems: Networks of
Plausible Inference.
Morgan Kaufmann Publishers, San Francisco, United States, 1988. [ bib ] |
| [159] |
S. Peleg and G. Ron.
Nonlinear multiresolution: A shape-from-shading example.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
12(12):1206-1210, December 1990. [ bib ] |
| [160] |
E. G. M. Petrakis, A. Diplaros, and E. Milios.
Matching and retrieval of distorted and occluded shapes using dynamic
programming.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
24(11):1501-1516, November 2002. [ bib ] |
| [161] |
P. Pritchett and A. Zisserman.
Matching and reconstruction from widely separated views.
In European Workshop on 3D Structure from Multiple Images of
Large-Scale Environments, volume 1506 of Lecture Notes in Computer
Science, pages 78-92, freiburg, Germany, June 1998. [ bib ] |
| [162] |
C. Rao, A. Gritai, and M. Shah.
View-invariant alignment and matching of video sequences.
In IEEE International Conference on Computer Vision, volume 2,
pages 939-945, Nice, France, October 2003. [ bib ] |
| [163] |
L. Robert and R. Deriche.
Dense depth map reconstruction : A minimization and regularization
approach which preserves discontinuities.
In European Conference on Computer Vision, volume A, pages
439-451, Cambridge, United Kingdom, April 1996. [ bib ] |
| [164] |
A. Roche, X. Pennec, G. Malandain, and N. Ayache.
Rigid registration of 3-D ultrasound with MR images:a new
approach combining intensity and gradient information.
IEEE Transactions on Medical Imaging, 20(10):1038-1049,
October 2001. [ bib ] |
| [165] |
P. Rogelj, S. Kovacic, and J. C. Gee.
Point similarity measures for non-rigid registration of multi-modal
data.
Computer Vision and Image Understanding, 92(1):112-140,
October 2003. [ bib ] |
| [166] |
S. Roy and I. J. Cox.
A maximum-flow formulation of the n-camera stereo correspondence
problem.
In IEEE International Conference on Computer Vision, pages
492-499, Bombay, India, January 1998. [ bib ] |
| [167] |
M. Rziza, A. Tamtaoui, L. Morin, and D. Aboutajdine.
Estimation and segmentation of a dense disparity map for 3d
reconstruction.
In IEEE International Conference on Acoustics, Speech and Signal
Processing, Istanbul, Turkey, March 2000. [ bib ] |
| [168] |
H. Saito and M. Mori.
Application of genetic algorithms to stereo matching of images.
Pattern Recognition Letters, 16(8):815-821, August 1995. [ bib ] |
| [169] |
M. Sankar Kishore and K. Veerabhadra Rao.
A study of correlation technique on pyramid processed images.
Sadhana, Academy Proceedings in Engineering
Sciences, 25(1):37-43, February 2000. [ bib ] |
| [170] |
D. Scharstein and R. Szeliski.
A taxomomy and evaluation of dense two-frame stereo correspondence
algorithms.
International Journal of Computer Vision, 47(1):7-42, April
2002. [ bib ] |
| [171] |
C. Schmid and R. Mohr.
Matching by local invariants.
Research report RR-2644, Institut National de Recherche en
Informatique et en Automatique, August 1995. [ bib ] |
| [172] |
H. W. Schreier, J. R. Braasch, and M. A. Sutton.
Systematic errors in digital image correlation caused by intensity
interpolation.
Optical engineering, 39(11):2915-2921, November 2000. [ bib ] |
| [173] |
P. Seitz.
Using local orientational information as image primitive for robust
object recognition.
In Visual Communication and Image Processing IV, volume
SPIE-1199, pages 1630-1639, 1989. [ bib ] |
| [174] |
D. Semani, M. Chambah, and P. Courtellemont.
Processing of underwater colour images applied to live aquarium
videos.
International Journal of Robotics and Automation,
20(2):123-130, 2005. [ bib ] |
| [175] |
J. Shao.
Generation of temporally consistent multiple virtual camera views
from stereoscopic image sequences.
International Journal of Computer Vision, 47(2):171-180, April
2002. [ bib ] |
| [176] |
H. Shekarforoush, M. Berthod, and J. Zerubia.
Subpixel image registration by estimating the polyphase decomposition
of the cross power spectrum.
Research report RR-2707, Institut National de Recherche en
Informatique et en Automatique, Sophia-Antipolis, France, November 1995. [ bib ] |
| [177] |
J. Shi and C. Tomasi.
Good features to track.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 593-600, Seattle, United States, June 1994. [ bib ] |
| [178] |
M. Shimizu and M. Okutomi.
Sub-pixel estimation error cancellation on area-based matching.
International Journal of Computer Vision, 63(3):207-224, July
2005. [ bib ] |
| [179] |
C. Silva and J. Santos-Victor.
Intrinsic images for dense stereo matching with occlusions.
In European Conference on Computer Vision, volume 1, pages
100-114, Dublin, Ireland, June-July 2000. [ bib ] |
| [180] |
P. Smith, D. Sinclair, R. Cipolla, and K. Wood.
Effective corner matching.
In British Machine Vision Conference, pages 545-556,
Southampton, United Kingdom, September 1998. [ bib ] |
| [181] |
P. W. Smith and N. Nandhakumar.
An improved power cepstrum based stereo correspondence method for
textured scenes.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
18(3):338-348, March 1996. [ bib ] |
| [182] |
S. Smith and J. Brady.
SUSAN - a new approach to low level image processing.
International Journal of Computer Vision, 23(1):45-78, May
1997. [ bib ] |
| [183] |
J. P. P. Starink and E. Backer.
Finding point correspondences using simulated annealing.
The Journal of the Pattern Recognition Society, 28(2):231-240,
February 1995. [ bib ] |
| [184] |
C. Stock and A. Pinz.
Similarity measure for corner redetection.
In Scandinavian Conference on Image Analysis, pages 133-139,
Göteborg, Sweden, June 2003. [ bib ] |
| [185] |
C. Sun.
Fast optical flow using 3d shortest path techniques.
International Journal of Image and Vision Computing,
20(13-14):981-991, December 2002. [ bib ] |
| [186] |
J. Sun.
Stereo matching using belief propagation.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
25(7):787-800, December 2003. [ bib ] |
| [187] |
J. Sun, Y. Li, S. B. Kang, and H.-Y. Shum.
Symmetric stereo matching for occlusion handling.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 399-406, San Diego, United States,
June 2005. [ bib ] |
| [188] |
R. Szeliski.
Sampling the disparity space image.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
26(3):419-425, March 2004. [ bib ] |
| [189] |
R. Szeliski and D. Scharstein.
Symmetric sub-pixel stereo matching.
In European Conference on Computer Vision, volume 2, pages
525-540, Copenhagen, Denmark, May 2002. [ bib ] |
| [190] |
H. Tao and H. S. Sawhnwey.
Global matching criterion and color segmentation based stereo.
In IEEE Workshop on Applications of Computer Vision, pages
246-253, Palm Springs, United States, December 2000. [ bib ] |
| [191] |
H. Tao, H. S. Sawhnwey, and R. Kumar.
A global matching framework for stereo computation.
In IEEE International Conference on Computer Vision, volume 2,
pages 532-539, Vancouver, Canada, July 2001. [ bib ] |
| [192] |
M. F. Tappen and W. T. Freeman.
Comparison of graph cuts with belief propagation for stereo, using
identical mrf parameters.
In IEEE International Conference on Computer Vision, volume 2,
pages 900-907, Nice, France, October 2003. [ bib ] |
| [193] |
Q. Tian and M. N. Huhns.
Algorithms for subpixel registration.
Computer Vision, Graphics, and Image Processing: Image
Understanding, 35(2):220-233, August 1986. [ bib ] |
| [194] |
P. H. S. Torr and A. Criminisi.
Dense stereo using pivoted dynamic programming.
International Journal of Image and Vision Computing,
22(10):795-806, September 2004. [ bib ] |
| [195] |
C. Tsai and A. K. Katsaggelos.
Dense disparity estimation with a divide-and-conquer disparity space
image technique.
IEEE Transactions on Multimedia, 1(1):18-29, March 1999. [ bib ] |
| [196] |
D.-C. Tseng and C.-H. Chang.
Color segmentation using perceptual attributes.
In International Conference on Pattern Recognition, volume 3,
pages 228-231, La Haye, Holland, September 1992. [ bib ] |
| [197] |
T. Tuytelaars and L. Van Gool.
Wide baseline stereo matching based on local, affinely invariant
regions.
In British Machine Vision Conference, volume 1, pages 412-422,
Bristol, United Kingdom, September 2000. [ bib ] |
| [198] |
M. Uenohara and T. Kanade.
Use of fourier and karhunen-loeve decomposition for fast pattern
matching with a large set of templates.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
19(8):891-898, August 1997. [ bib ] |
| [199] |
F. Ullah, S. Kaneko, and S. Igarashi.
Orientation code matching for robust object search.
IEICE Transactions on Information and Systems,
E-84-D(8):999-1006, March 2001. [ bib ] |
| [200] |
O. Veksler.
Efficient graph-based energy minimization methods in computer
vision.
PhD thesis, Cornell University, Ithaca, United States, August 1999. [ bib ] |
| [201] |
O. Veksler.
Dense features for semi-dense stereo correspondence.
In IEEE Workshop on Stereo and Multi-Baseline Vision, pages
149-157, Kauai, United States, June 2001. [ bib ] |
| [202] |
O. Veksler.
Fast variable window for stereo correspondence using integral images.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 565-570, Madison, United States, June
2003. [ bib ] |
| [203] |
O. Veksler.
Stereo correspondence by dynamic programming on a tree.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 384-390, San Diego, United States,
June 2005. [ bib ] |
| [204] |
A. J. Viterbi.
Error bounds for convolutional codes and an asymptotically optimum
decoding algorithm.
IEEE Transactions on Information Theory, 13(2):260-269, April
1967. [ bib ] |
| [205] |
J. Wang and C. Hsiao.
On disparity matching in stereo vision via a neural network
framework.
National Science Council, 23(5):665-678, March 1999. [ bib ] |
| [206] |
L. Wang, S. B. Kang, H.-Y. Shum, and G. Xu.
Cooperative segmentation and stereo using perspective space search.
In Asian Conference on Computer Vision, pages 366-371, Jeju,
South Korea, January 2004. [ bib ] |
| [207] |
Q.-Q. Wei, W. Brauer, and G. Hirzinger.
Intensity- and gradient-based stereo matching using hierarchical
gaussian basis functions.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(11):1143-1160, November 1998. [ bib ] |
| [208] |
Y. Wei and L. Quan.
Region-based progressive stereo matching.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 106-113, Washington, United States,
June-July 2004. [ bib ] |
| [209] |
Y. Weiss and W. T. Freeman.
On the optimality of solutions of the max-product belief-propagation
algorithm in arbitrary graphs.
IEEE Transactions on Information Theory, 47(2):736-744,
February 2001. [ bib ] |
| [210] |
J. Weng, N. Ahuja, and T. S. Huang.
Matching two perspective views.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
14(8):806-825, July 1992. [ bib ] |
| [211] |
J. Xiao and M. Shah.
Two-frame wide baseline matching.
In IEEE International Conference on Computer Vision, volume 1,
pages 603-609, Nice, France, October 2003. [ bib ] |
| [212] |
G. Xu.
A unified approach to image matching and segmentation in stereo,
motion, and object recognition via recovery of epipolar geometry.
Videre: Journal of Computer Vision Research, 1(1):22-54, 1997. [ bib ] |
| [213] |
Y. Yang, A. Yuille, and J. Lu.
Local, global, and multilevel stereo matching.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 274-279, New-York, United States, June 1993. [ bib ] |
| [214] |
J. S. Yedidia, W. T. Freeman, and Y. Weiss.
Constructing free-energy approximations and generalized belief
propagation algorithms.
IEEE Transactions on Information Theory, 51(7):2282-2312, July
2005. [ bib ] |
| [215] |
R. Zabih and J. Woodfill.
Non-parametric local transforms for computing visual correspondence.
In European Conference on Computer Vision, pages 151-158,
Stockholm, Sweden, May 1994. [ bib ] |
| [216] |
X. Zhang and Y. Liu.
Point pattern matching for articulated or multiple objects.
In International Conference on Pattern Recognition, volume 3,
pages 630-633, Cambridge, United Kingdom, August 2004. [ bib ] |
| [217] |
Y. Zhang and C. Kambhamettu.
Stereo matching with segmentation-based cooperation.
In European Conference on Computer Vision, volume 2, pages
556-571, Copenhagen, Denmark, May 2002. [ bib ] |
| [218] |
Z. Zhang.
Le problème de la mise en correspondance : l'état de l'art.
Research report RR-2146, Institut National de Recherche en
Informatique et en Automatique, December 1993. [ bib ] |
| [219] |
Z. Zhang.
Determining the epipolar geometry and its uncertainty: A review.
Research report RR-2927, Institut National de Recherche en
Informatique et en Automatique, July 1996. [ bib ] |
| [220] |
Z. Zhang and Y. Shan.
A progressive scheme for stereo matching.
In European Workshop on 3D Structure from Multiple Images of
Large-Scale Environments, volume 2018 of Lecture Notes in Computer
Science, pages 68-85, Dublin, Ireland, July 2000. [ bib ] |
| [221] |
T. E. Zickler, J. Ho, D. J. Kriegman, J. Ponce, and P. N. Belhumeur.
Binocular helmholtz stereopsis.
In IEEE International Conference on Computer Vision, volume 2,
pages 1411-1417, Nice, France, October 2003. [ bib ] |
| [222] |
C. L. Zitnick and T. Kanade.
A cooperative algorithm for stereo matching and occlusion detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
22(7):675-684, July 2000. [ bib ] |
| [223] |
I. Zoghlami, O. Faugeras, and R. Deriche.
Traitement des occlusions pour la modification d'objet plan dans une
séquence d'image.
In Actes du congrès francophone de Vision par Ordinateur,
ORASIS, pages 93-103, Clermont-Ferrand, France, May 1996. [ bib ] |