[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 proceedings of International Conference on Robotic and
Automation, ICRA, San Francisco, États-Unis, avril 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,
Allemagne, mars 1992. [ bib ] |
[3] |
D. N. Bhat and S. K. Nayar.
Ordinal measures for image correspondence.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI, 20(4):415-423, avril 1998. [ bib ] |
[4] |
S. Chambon and A. Crouzil.
Évaluation et comparaison de mesures de corrélation robustes aux
occultations.
Rapport de recherche 2002-34-R, Institut de Recherche en Informatique
de Toulouse, IRIT, Université Paul Sabatier, UPS, France, décembre 2002. [ bib | .ps.gz ] |
[5] |
S. Chambon and A. Crouzil.
Dense matching using correlation: new measures that are robust near
occlusions.
In proceedings of British Machine Vision Conference, BMVC,
volume 1, pages 143-152, Norwich, Royaume-Uni, septembre 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, janvier 2005. [ bib ] |
[7] |
H. Chen and P. Meer.
Robust regression with projection based m-estimators.
In IEEE Conference Proceedings of International Conference on
Computer Vision, ICCV, volume 2, pages 878-885, Nice, France, octobre 2003. [ bib ] |
[8] |
Q. Chen and G. Medioni.
A volumetric stereo matching method: Application to image-based
modeling.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, volume 1, pages 1029-1034, Fort Collins, États-Unis,
juin 1999. [ bib ] |
[9] |
G. S. Cox.
Template matching and measures of match in image processing.
Technical report, Université de Cape Town, Afrique du Sud, juillet
1995. [ bib | http ] |
[10] |
A. Crouzil, L. Massip-Pailhes, and S. Castan.
A new correlation criterion based on gradient fields similarity.
In IEEE Conference Proceedings of International Conference on
Pattern Recognition, ICPR, volume 1, pages 632-636, Vienne, Autriche, août
1996. [ bib ] |
[11] |
B. Cyganek and J. Borgosz.
A comparative study of performance and implementation of some
area-based stereo algorithms.
In proceedings of International Conference on Computer Analysis
of Images and Patterns, CAIP, pages 709-716, Varsovie, Pologne, septembre
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, juin 2001. [ bib ] |
[13] |
O. De Joinville, H. Maître, D. Piquet Pellorce, and M. Roux.
How to design dem assessment maps.
In proceedings of International Workshop on Pattern Recognition
in Remote Sensing, Andorre-La-Vieille, Andorre, septembre 2000. [ bib ] |
[14] |
J. Delon and B. Rougé.
Le phénomène d'adhérence en stéréoscopie dépend du critère de
corrélation.
In actes du colloque GRETSI sur le traitement du signal et des
images, Toulouse, France, septembre 2001. [ bib ] |
[15] |
F. Devernay.
Vision stéréoscopique et propriétés différentielles des
surfaces.
Thèse de doctorat, Institut National Polytechnique, INP, Grenoble,
France, février 1997. [ bib ] |
[16] |
L. Di Stefano, M. Marchionni, S. Mattocia, and G. Neri.
A fast area-based stereo matching algorithm.
In proceedings of International Conference on Vision Interface,
VI, pages 146-153, Calgary, Canada, mai 2002. [ bib ] |
[17] |
L. Di Stefano and S. Mattocia.
Fast template matching using bounded partial correlation.
International Journal of Machine Vision and Applications, MVA,
13(4):213-221, février 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,
PAMI, 24(8):1127-1133, août 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, Grèce, septembre 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, Allemagne,
mars 1992. [ bib ] |
[21] |
O. Faugeras, B. Hotz, Z. Zhang, and P. Fua.
Real time correlation-based stereo : Algorithm, implementation and
applications.
Rapport de recherche RR-2013, Institut National de Recherche en
Informatique et en Automatique, INRIA, août 1993. [ bib ] |
[22] |
V. Ferrari, T. Tuytelaars, and L. Van Gool.
Wide-baseline multiple-view correspondences.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, volume 2, pages 718-725, Madison, États-Unis, juin 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
Conference Proceedings of Computer Vision and Pattern Recognition, CVPR,
volume 3, pages 29-36, Washington, États-Unis, juin-juillet 2004. [ bib ] |
[24] |
P. Fua.
A parallel stereo algorithm that produces dense depth maps and
preserves image features.
International Journal of Machine Vision and Applications, MVA,
6(1):35-49, janvier 1993. [ bib ] |
[25] |
D. Garcia.
Mesures de formes et de champs de déplacements tridimensionnels
par stéréo-corrélation d'images.
Thèse de doctorat, École des Mines d'Albi, France, décembre 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, États-Unis, mars 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, septembre 2002. [ bib ] |
[28] |
A. Giachetti.
Matching techniques to compute image motion.
International Journal of Image and Vision Computing, IVC,
18(3):245-258, février 2000. [ bib ] |
[29] |
M. Gong.
Motion estimation using dynamic programming with selective path
search.
In IEEE Conference Proceedings of International Conference on
Pattern Recognition, ICPR, volume 4, pages 203-206, Cambridge, Royaume-Uni,
août 2004. [ bib ] |
[30] |
M. Gong and Y.-H. Yang.
Near real-time reliable stereo matching using programmable graphics
hardware.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, San Diego, États-Unis, juin 2005.
À paraître. [ bib ] |
[31] |
L. Gottesfeld Brown.
A survey of image registration techniques.
ACM Computing Surveys, 24(4):325-376, décembre 1992. [ bib ] |
[32] |
P. J. Huber.
Robust statistics.
J. Wiley & Sons, New-York, États-Unis, 1981. [ bib ] |
[33] |
C. V. Jawahar and P. J. Narayanan.
Generalised correlation for multi-feature correspondence.
The Journal of the Pattern Recognition Society, PR,
35(6):1303-1313, juin 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 Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, pages 196-202, San Francisco, États-Unis, juin 1996. [ bib ] |
[35] |
S. Kaneko, I. Murase, and S. Igarashi.
Robust image registration by increment sign correlation.
The Journal of the Pattern Recognition Society, PR,
35(10):2223-2234, octobre 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, PR,
36(5):1165-1173, mai 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 IEEE Conference Proceedings of International Conference on
Pattern Recognition, ICPR, volume 3, pages 654-657, Cambridge, Royaume-Uni,
août 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 Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, volume 2, pages 1075-1082, San Diego, États-Unis, juin
2005. [ bib ] |
[39] |
J. Kostková and R. Sára.
Stratified dense matching for stereopsis in complex scenes.
In proceedings of British Machine Vision Conference, BMVC,
volume 1, pages 339-348, Norwich, Royaume-Uni, septembre 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, PR,
34(9):1701-1712, septembre 2001. [ bib ] |
[41] |
Z. D. Lan.
Méthodes robustes en vision : application aux appariements
visuels.
Thèse de doctorat, Institut National Polytechnique, INP, Grenoble,
France, mai 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,
janvier 2004. [ bib ] |
[44] |
R. Manduchi and C. Tomasi.
Distinctiveness maps for image matching.
In proceedings of International Conference on Image Analysis and
Processing, ICIAP, pages 26-31, Venise, Italie, septembre 1999. [ bib ] |
[45] |
I. Matthews, T. Ishikawa, and S. Baker.
The template update problem.
In proceedings of British Machine Vision Conference, BMVC,
volume 2, pages 649-658, Norwich, Royaume-Uni, septembre 2003. [ bib ] |
[46] |
H. Mayer.
Analysis of means to improve cooperative disparity estimation.
In proceedings of ISPRS Conference on Photogrammetric Image
Analysis, PIA, pages 25-31, Munich, Allemagne, septembre 2003. [ bib ] |
[47] |
R. Mayoral and M. Aurnhammer.
Evaluation of correspondence errors for stereo.
In IEEE Conference Proceedings of International Conference on
Pattern Recognition, ICPR, volume 4, pages 104-107, Cambridge, Royaume-Uni,
août 2004. [ bib ] |
[48] |
C. Menard and W. G. Kropatsch.
Adaptive stereo matching in correlation scale-space.
In proceedings of International Conference on Image Analysis and
Processing, ICIAP, volume 2, pages 677-684, Florence, Italie, septembre
1997. [ bib ] |
[49] |
H. Moravec.
Obstacle Avoidance and Navigation in the Real World by a Seeing
Robot Rover.
PhD thesis, Université de Carnegie Mellon, CMU, Pittsburgh,
États-Unis, septembre 1980. [ bib ] |
[50] |
J. Mulligan and K. Daniilidis.
Predicting disparity windows for real-time stereo.
In proceedings of European Conference on Computer Vision, ECCV,
volume 1, pages 220-235, Dublin, Irlande, juin-juillet 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, juillet 1975.
Papier AAS75-104. [ bib ] |
[52] |
H. K. Nishihara.
PRISM, a pratical real-time imaging stereo matcher.
Rapport de recherche A. I. Memo 780, Massachusetts Institute of
Technology, MIT, États-Unis, 1984. [ bib ] |
[53] |
M. Okutomi and T. Kanade.
A multiple-baseline stereo.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI, 15(4):358-363, avril 1993. [ bib ] |
[54] |
S. Porter, M. Mirmehdi, and B. Thomas.
Video indexing using motion estimation.
In proceedings of British Machine Vision Conference, BMVC,
volume 2, pages 659-668, Norwich, Royaume-Uni, septembre 2003. [ bib ] |
[55] |
W. K. Pratt.
Digital image processing.
Wiley-Interscience Publication, New-York, États-Unis, 1978. [ bib ] |
[56] |
J. Puzicha, T. Hofmann, and J. M. Buhmann.
Non-parametric similarity measures for unsupervised texture
segmentation and image retrieval.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, pages 267-272, San Juan, Porto Rico, juin 1997. [ bib ] |
[57] |
V. S. K. Reddy and S. Sengupta.
A new predictive full-search block motion estimation.
In IEEE Conference Proceedings of International Conference on
Pattern Recognition, ICPR, volume 4, pages 721-724, Cambridge, Royaume-Uni,
août 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, Hollande, 1992. [ bib ] |
[59] |
P. J. Rousseeuw and A. M. Leroy.
Robust regression and outlier detection.
J. Wiley & Sons, New-York, États-Unis, 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, CVIU, 84(1):25-43,
octobre 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 actes du colloque GRETSI sur le traitement du signal et des
images, Toulouse, France, septembre 2001. [ bib ] |
[62] |
H. Saito and M. Mori.
Application of genetic algorithms to stereo matching of images.
Pattern Recognition Letters, PRL, 16(8):815-821, août 1995. [ bib ] |
[63] |
D. Scharstein and R. Szeliski.
A taxomomy and evaluation of dense two-frame stereo correspondence
algorithms.
International Journal of Computer Vision, IJCV, 47(1):7-42,
avril 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 proceedings of British Machine Vision Conference, BMVC,
pages 545-556, Southampton, Royaume-Uni, septembre 1998. [ bib ] |
[66] |
C. Stock and A. Pinz.
Similarity measure for corner redetection.
In proceedings of Scandinavian Conference on Image Analysis,
SCIA, pages 133-139, Göteborg, Suède, juin 2003. [ bib ] |
[67] |
C. Sun.
A fast stereo matching method.
In proceedings of Digital Image Computing : Techniques and
Applications, DICTA, pages 95-100, Auckland, Nouvelle-Zélande, décembre
1997. [ bib ] |
[68] |
C. Sun and S. Peleg.
Fast panoramic stereo matching using cylindrical maximum surfaces.
IEEE Transactions on Systems, Man and Cybernetics, SMC,
34(1):760-765, février 2004. [ bib ] |
[69] |
R. Sára and R. Bajcsy.
On occluding contour artifacts in stereo vision.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, pages 852-857, San Juan, Porto Rico, juin 1997. [ bib ] |
[70] |
M. Trujillo and E. Izquierdo.
A robust correlation measure for correspondence estimation.
In proceedings of International Symposium on 3D Data Processing,
Visualization and Transmission, 3DPVT, pages 155-162, Thessalonique, Grèce,
septembre 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, PRL, 24(15):2525-2535, novembre
2003. [ bib ] |
[72] |
F. Ullah, S. Kaneko, and S. Igarashi.
Orientation code matching for robust object search.
Proceedings of IEICE Transactions on Information and Systems,
E-84-D(8):999-1006, mars 2001. [ bib ] |
[73] |
Y. Wang and D. Wiens.
Optimal, robust r-estimators and test statistics in the linear model.
Statistics and Probability Letters, SPL, 14:179-188, juin
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 Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, pages 274-279, New-York, États-Unis, juin 1993. [ bib ] |
[76] |
K.-J. Yoon and I.-S. Kweon.
Locally adaptive support-weight approach for visual correspondence
search.
In IEEE Conference Proceedings of Computer Vision and Pattern
Recognition, CVPR, volume 2, pages 924-931, San Diego, États-Unis, juin
2005. [ bib ] |
[77] |
R. Zabih and J. Woodfill.
Non-parametric local transforms for computing visual correspondence.
In proceedings of European Conference on Computer Vision, ECCV,
pages 151-158, Stockholm, Suède, mai 1994. [ bib ] |
[78] |
Z. Zhang.
Parameter estimation techniques: A tutorial with application to conic
fitting.
Rapport de recherche RR-2676, Institut National de Recherche en
Informatique et en Automatique, INRIA, octobre 1995. [ bib ] |
[79] |
Z. Zhang and Y. Shan.
A progressive scheme for stereo matching.
In proceedings of European Workshop on 3D Structure from
Multiple Images of Large-Scale Environments, SMILE, volume 2018 of
Lecture Notes in Computer Science, pages 68-85, Dublin, Irlande, juillet
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, mai 1996. [ bib ] |