| [1] |
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 ] |
| [2] |
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 ] |
| [3] |
D. N. Bhat and S. K. Nayar.
Ordinal measures for image correspondence.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(4):415-423, April 1998. [ bib ] |
| [4] |
S. Chambon and A. Crouzil.
Évaluation et comparaison de mesures de corrélation robustes aux
occultations.
Research report 2002-34-R, IRIT, Institut de Recherche en
Informatique de Toulouse, Université Paul Sabatier, France, December 2002. [ bib | .ps.gz ] |
| [5] |
S. Chambon and A. Crouzil.
Dense matching using correlation: new measures that are robust near
occlusions.
In British Machine Vision Conference, volume 1, pages 143-152,
Norwich, United Kingdom, September 2003. [ bib | .ps.gz ] |
| [6] |
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 ] |
| [7] |
H. Chen and P. Meer.
Robust regression with projection based m-estimators.
In IEEE International Conference on Computer Vision, volume 2,
pages 878-885, Nice, France, October 2003. [ bib ] |
| [8] |
Q. Chen and G. Medioni.
A volumetric stereo matching method: Application to image-based
modeling.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 1, pages 1029-1034, Fort Collins, United
States, June 1999. [ bib ] |
| [9] |
G. S. Cox.
Template matching and measures of match in image processing.
Technical report, University of Cape Town, South Africa, July 1995. [ bib | http ] |
| [10] |
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 ] |
| [11] |
B. Cyganek and J. Borgosz.
A comparative study of performance and implementation of some
area-based stereo algorithms.
In International Conference on Computer Analysis of Images and
Patterns, pages 709-716, Warsaw, Poland, September 2001. [ bib ] |
| [12] |
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 ] |
| [13] |
O. De Joinville, H. Maître, D. Piquet Pellorce, and M. Roux.
How to design dem assessment maps.
In International Workshop on Pattern recognition in Remote
Sensing, Andorra-La-Vella, Andorra, September 2000. [ bib ] |
| [14] |
J. Delon and B. Rougé.
Le phénomène d'adhérence en stéréoscopie dépend du critère de
corrélation.
In colloque GRETSI sur le traitement du signal et des images,
Toulouse, France, September 2001. [ bib ] |
| [15] |
F. Devernay.
Vision stéréoscopique et propriétés différentielles des
surfaces.
Thesis, Institut National Polytechnique, Grenoble, France, February
1997. [ bib ] |
| [16] |
L. Di Stefano, M. Marchionni, S. Mattocia, and G. Neri.
A fast area-based stereo matching algorithm.
In International Conference on Vision Interface, pages
146-153, Calgary, Canada, May 2002. [ bib ] |
| [17] |
L. Di Stefano and S. Mattocia.
Fast template matching using bounded partial correlation.
Journal of Machine Vision and Applications, 13(4):213-221,
February 2003. [ bib ] |
| [18] |
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 ] |
| [19] |
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 ] |
| [20] |
O. Faugeras, P. Fua, B. Hotz, R. Ma, L. Robert, M. Thonnat, and Z. Zhang.
Quantitative and qualitative comparison of some area and
feature-based stereo algorithms.
In Förstner and Ruwiedel, editors, Robust computer vision:
Quality of Vision Algorithms, pages 1-26. Wichmann, Karlsruhe, Germany,
March 1992. [ bib ] |
| [21] |
O. Faugeras, B. Hotz, Z. Zhang, and P. Fua.
Real time correlation-based stereo : Algorithm, implementation and
applications.
Research report RR-2013, Institut National de Recherche en
Informatique et en Automatique, August 1993. [ bib ] |
| [22] |
V. Ferrari, T. Tuytelaars, and L. Van Gool.
Wide-baseline multiple-view correspondences.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 718-725, Madison, United States, June
2003. [ bib ] |
| [23] |
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 ] |
| [24] |
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 ] |
| [25] |
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 ] |
| [26] |
D. Garcia and J.J. Orteu.
3D deformation measurement using stereo-correlation applied to
experimental mechanics.
In International Symposium on Deformation Measurements, pages
50-60, Orange, United States, March 2001. [ bib ] |
| [27] |
D. Garcia, J.J. Orteu, and L. Penazzi.
A combined temporal tracking and stereo-correlation technique for
accurate measurement of 3d displacements: Application to sheet metal forming.
Journal of Materials Processing Technology,
2002(125-126):736-742, September 2002. [ bib ] |
| [28] |
A. Giachetti.
Matching techniques to compute image motion.
International Journal of Image and Vision Computing,
18(3):245-258, February 2000. [ bib ] |
| [29] |
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 ] |
| [30] |
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, San Diego, United States, June 2005.
to appear. [ bib ] |
| [31] |
L. Gottesfeld Brown.
A survey of image registration techniques.
ACM Computing Surveys, 24(4):325-376, December 1992. [ bib ] |
| [32] |
P. J. Huber.
Robust statistics.
J. Wiley & Sons, New-York, United States, 1981. [ bib ] |
| [33] |
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 ] |
| [34] |
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 ] |
| [35] |
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 ] |
| [36] |
S. Kaneko, Y. Satoh, and S. Igarashi.
Using selective correlation coefficient for robust image
registration.
The Journal of the Pattern Recognition Society,
36(5):1165-1173, May 2003. [ bib ] |
| [37] |
T. Kawanishi, T. Kurozumi, K. Kashino, and S. Takagi.
A fast template matching algorithm with adaptive skipping using
inner-subtemplates' distances.
In International Conference on Pattern Recognition, volume 3,
pages 654-657, Cambridge, United Kingdom, August 2004. [ bib ] |
| [38] |
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 ] |
| [39] |
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 ] |
| [40] |
J. S. Ku, K. M. Lee, and S. U. Lee.
Multi-image matching for a general motion stereo camera model.
The Journal of the Pattern Recognition Society,
34(9):1701-1712, September 2001. [ bib ] |
| [41] |
Z. D. Lan.
Méthodes robustes en vision : application aux appariements
visuels.
Thesis, Institut National Polytechnique, Grenoble, France, May 1997. [ bib ] |
| [42] |
M. Lantagne, M. Parizeau, and R. Bergevin.
VIP : Vision tool for comparing images of people.
Vision Interface, 2003. [ bib ] |
| [43] |
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 ] |
| [44] |
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 ] |
| [45] |
I. Matthews, T. Ishikawa, and S. Baker.
The template update problem.
In British Machine Vision Conference, volume 2, pages 649-658,
Norwich, United Kingdom, September 2003. [ bib ] |
| [46] |
H. Mayer.
Analysis of means to improve cooperative disparity estimation.
In ISPRS Conference on Photogrammetric Image Analysis, pages
25-31, , Germany, September 2003. [ bib ] |
| [47] |
R. Mayoral and M. Aurnhammer.
Evaluation of correspondence errors for stereo.
In International Conference on Pattern Recognition, volume 4,
pages 104-107, Cambridge, United Kingdom, August 2004. [ bib ] |
| [48] |
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 ] |
| [49] |
H. Moravec.
Obstacle Avoidance and Navigation in the Real World by a Seeing
Robot Rover.
PhD thesis, Carnegie Mellon University, Pittsburgh, United States,
September 1980. [ bib ] |
| [50] |
J. Mulligan and K. Daniilidis.
Predicting disparity windows for real-time stereo.
In European Conference on Computer Vision, volume 1, pages
220-235, Dublin, Ireland, June-July 2000. [ bib ] |
| [51] |
M. L. Nack.
Temporal registration of multispectral digital satellite images using
their edge images.
In AAS/AIAA/Astrodynamics Specialist Conference, Nassau,
Bahamas, July 1975.
Papier AAS75-104. [ bib ] |
| [52] |
H. K. Nishihara.
PRISM, a pratical real-time imaging stereo matcher.
Research report A. I. Memo 780, Massachusetts Institute of
Technology, United States, 1984. [ bib ] |
| [53] |
M. Okutomi and T. Kanade.
A multiple-baseline stereo.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
15(4):358-363, April 1993. [ bib ] |
| [54] |
S. Porter, M. Mirmehdi, and B. Thomas.
Video indexing using motion estimation.
In British Machine Vision Conference, volume 2, pages 659-668,
Norwich, United Kingdom, September 2003. [ bib ] |
| [55] |
W. K. Pratt.
Digital image processing.
Wiley-Interscience Publication, New-York, United States, 1978. [ bib ] |
| [56] |
J. Puzicha, T. Hofmann, and J. M. Buhmann.
Non-parametric similarity measures for unsupervised texture
segmentation and image retrieval.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 267-272, San Juan, Porto Rico, June 1997. [ bib ] |
| [57] |
V. S. K. Reddy and S. Sengupta.
A new predictive full-search block motion estimation.
In International Conference on Pattern Recognition, volume 4,
pages 721-724, Cambridge, United Kingdom, August 2004. [ bib ] |
| [58] |
P. J. Rousseeuw and C. Croux.
L1-statistical analysis and related methods.
In Y. Dodge, editor, Explicit Scale Estimators with High
Breakdown Point, pages 77-92. Elsevier, Amsterdam, Holland, 1992. [ bib ] |
| [59] |
P. J. Rousseeuw and A. M. Leroy.
Robust regression and outlier detection.
J. Wiley & Sons, New-York, United States, 1987. [ bib ] |
| [60] |
Y. Rubner, J. Puzicha, C. Tomasi, and J. M. Buhmann.
Empirical evaluation of dissimilarity measures for color and texture.
Computer Vision and Image Understanding, 84(1):25-43, October
2001. [ bib ] |
| [61] |
M. Rziza, D. Aboutajdine, L. Morin, and A. Tamtaoui.
Schéma multirésolution d'estimation d'un champ de disparités dense
sous contrainte épipolaire pour les images bruitées.
In colloque GRETSI sur le traitement du signal et des images,
Toulouse, France, September 2001. [ bib ] |
| [62] |
H. Saito and M. Mori.
Application of genetic algorithms to stereo matching of images.
Pattern Recognition Letters, 16(8):815-821, August 1995. [ bib ] |
| [63] |
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 ] |
| [64] |
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 ] |
| [65] |
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 ] |
| [66] |
C. Stock and A. Pinz.
Similarity measure for corner redetection.
In Scandinavian Conference on Image Analysis, pages 133-139,
Göteborg, Sweden, June 2003. [ bib ] |
| [67] |
C. Sun.
A fast stereo matching method.
In Digital Image Computing : Techniques and Applications, pages
95-100, Auckland, New Zeland, December 1997. [ bib ] |
| [68] |
C. Sun and S. Peleg.
Fast panoramic stereo matching using cylindrical maximum surfaces.
IEEE Transactions on Systems, Man and Cybernetics,
34(1):760-765, February 2004. [ bib ] |
| [69] |
R. Sára and R. Bajcsy.
On occluding contour artifacts in stereo vision.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, pages 852-857, San Juan, Porto Rico, June 1997. [ bib ] |
| [70] |
M. Trujillo and E. Izquierdo.
A robust correlation measure for correspondence estimation.
In International Symposium on 3D Data Processing, Visualization
and Transmission, pages 155-162, Thessaloniki, Greece, September 2004. [ bib ] |
| [71] |
D.-M. Tsai, C.-T. Lin, and J.-F. Chen.
The evaluation of normalized cross correlations for defect detection.
Pattern Recognition Letters, 24(15):2525-2535, November 2003. [ bib ] |
| [72] |
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 ] |
| [73] |
Y. Wang and D. Wiens.
Optimal, robust r-estimators and test statistics in the linear model.
Statistics and Probability Letters, 14:179-188, June 1992. [ bib ] |
| [74] |
D. Wiens and J. Zhou.
Bounded-influence rank estimation in the linear model.
The Canadian Journal of Statistics, 22(2):233-245, 1994. [ bib ] |
| [75] |
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 ] |
| [76] |
K.-J. Yoon and I.-S. Kweon.
Locally adaptive support-weight approach for visual correspondence
search.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition, volume 2, pages 924-931, San Diego, United States,
June 2005. [ bib ] |
| [77] |
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 ] |
| [78] |
Z. Zhang.
Parameter estimation techniques: A tutorial with application to conic
fitting.
Research report RR-2676, Institut National de Recherche en
Informatique et en Automatique, October 1995. [ bib ] |
| [79] |
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 ] |
| [80] |
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 ] |