Gaussian scale-space dense disparity estimation with anisotropic disparity-field diffusion

Proceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM

Volumn , Issue , 2005, Pages 556-563

  Kim, Jangheon ^a   Sikora, Thomas ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONSTRAINTS; COARSER RESOLUTION; DENSE DISPARITY ESTIMATION; GAUSSIAN FILTER KERNELS; GAUSSIAN SCALE SPACE; GLOBAL DISPARITIES; LOCALIZATION PERFORMANCE; STEREO IMAGE PAIRS;

ALGORITHMS; ANISOTROPY; DIFFUSION; EDGE DETECTION; IMAGE MATCHING; THREE DIMENSIONAL; VECTORS;

ITERATIVE METHODS;

EID: 78651076911     PISSN: 15506185     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DIM.2005.50     Document Type: Conference Paper

References (27)

1. L. Robert, O.D. Faugeras, "Curve-Based Stereo: Figural Continuity And Curvature", in Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 57-62, 1991.
2. J. Konrad, Z. D. Lan, "Dense disparity estimation from feature correspondences", in Proceding of SPIE Stereoscopic Displays and Virtual Reality Systems, vol. 3957, pp. 90-101, 2000.
3. L. Di Stefano, M. Marchionni, S. Mattoccia, "A Fast Area-Based Stereo Matching Algorithm", Image and Vision Computing, vol. 22, pp. 983-1005, 2004
4. P. Fua, "Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Discontinuities", in Proceeding of 12th International Joint Conference on Artificial Intelligence, 1991.
5. R. Maas, B. M ter Haar Romeny, M. A. Viergever, "Area-based computation of stereo disparity with modelbased window size selection", in Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999.
6. S. Birchfield, C. Tomasi, "Depth Discontinuities by Pixel-to-Pixel Stereo", International Journal of Computer Vision, pp. 269-293, 1999.
7. A. Fusiello, V. Roberto, and E. Trucco, "Efficient stereo with multiple windowing", in Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 858-863, 1997.
8. T. Kanade, M. Okutomi, "A stereo matching algorithm with an adaptive window: theory and experiment", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 920-932, 1994.
9. M. Agrawal, L. S. Davis, "Window-based, discontinuity preserving stereo", in Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2004.
10. Ru-Shang Wang and Yao Wang, "Multiview Video Sequence Analysis, Compression, and Virtual Viewpoint Synthesis", IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, pp. 397-410, 2000.
11. L. Alvarez, J. Sánchez, "3-D Geometry reconstruction using a color image stereo pair and partial differential equations", Cuadernos del Instituto Universitario de Cienciasy Tecnologas Ciberneticas, vol. 6, pp. 1-26, 2000.
12. L. Alvarez, R. Deriche, J. Sánchez, and J. Weickert, "Dense disparity map estimation respecting image derivatives: a PDE and scale-space based approach", Journal of Visual Communication and Image Representation, vol. 13, 2002.
13. C. Strecha, L. Van Gool, "PDES-based multi-view depth estimation", in Proceeding of 1st International Symposium on 3D Data Processing Visualization and Transmission, pp. 416-425, 2002.
14. P. Liatsis, J. Y. Goulermas, "Depth estimation from stereo using a constrained non-linear programming framework", in Proceeding of 4th European Workshop Image Analysis for Multimedia Interactive Services, pp. 369-374, 2003.
15. H. Kim and S. Sohn, "Hierarchical Depth Estimation for Image Synthesis in Mixed Reality", in Proceeding of SPIE Electronic Imaging, pp. 544-553, 2003.
16. R. Deriche "Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities", in Proceeding of 4th European Conference on Computer Vision, pp. 439-451, 1996.
17. P. Perona, J. Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 629-639, 1990.
18. F. Catté, P. L. Lions, J. M. Morel, and T. Coll, "Image selective smoothing and edge detection by nonlinear diffusion", SIAM Journal Numerical Analysis, vol. 29, pp. 182-193, 1992.
19. J. Weickert, "Foundations and applications of nonlinear anisotropic diffusion filtering", Zeitschrift für angewandte Mathematik und Mechanik, pp. 283-286, 1996.
20. J. Canny, "Computational approach to edge detection", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol G 8, pp. 679-698, 1986.
21. A. P. Witkin, "Scale-space filtering", in Proceeding of 8th International Joint Conference on Artificial Intelligence, pp. 1019-1022, 1983.
22. R. Deriche, "Optimal edge detection using recursive filtering", in Proceeding of IEEE International Conference on Computer Vision, pp. 501-505, 1987.
23. Y. Dufournau, C. Schmid, R. Horaud, "Image matching with scale adjustment", Computer Vision and Image Understanding, vol. 93, 2004, page 175-194.
24. C. Menard, W. G. Kropatsch, "Adaptive Stereo Matching in Correlation Scale-Space", in Proceedings of the 9th IAPR International Conference on Image Analysis and Processing, vol. 1, pp. 677-684, 1997.
25. W. Ma, B. S. Manjunath, "EdgeFlow: a technique for boundary detection and image segmentation", IEEE Transaction on Image Processing, pp. 1375-1388, 2000.
26. M. J. Black, G. Sapiro, D. H. Marimont, D. Heeger, "Robust anisotropic diffusion", IEEE Transactions on Image Processing, vol. 7, page 421-432, 1998.
27. S. K. Weeratunga, C. Kamath, "A comparison of PDES-based non-linear anisotropic diffusion techniques for image denoising", in Proceeding of SPIE Electronic Imaging, Image Processing: Algorithms and Systems II, 2003.