1 |
H. Hirschmller, Stereo processing by semiglobal matching and mutual information, IEEE TPAMI 30, pp. 328-341, 2009.
|
2 |
Q. Yang, L. Wang, R. Yang, H. Stewenius, D. Nister, Stereo matching with colorweighted correlation, hierarchical belief propagation and occlusion handling, IEEE TPAMI 31, pp. 492-504, 2009.
DOI
|
3 |
H. Lei, C. K. Jung, Reliability-Based Discontinuity -Preserving Stereo Matching, IEEE TCSVT, 2015.
|
4 |
D. Comanicu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Machine Intell., May 2002.
|
5 |
X. Mei, X. Sun, M. Zhou, S. Jiao, H. Wang, X. Zhang, On building an accurate stereo matching system on graphics hardware, ICCV, pp 6-13, 2011.
|
6 |
A. Hosni, M. Bleyer, C. Rhemann, M. Gelautz, C. Rother, REal-time local stereo matching using guided image filtering, ICME, pp, 1-6, 2011.
|
7 |
http://www.middlebury.edulstereo/
|
8 |
D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two frame stereo correspondence algorithms," IJCV, vol. 47, no. 112/3, pp. 7-42, 2002.
DOI
|
9 |
Z. Ma, K. He, Y. Wei, J. Sun, E. Wu, Constant Time Weighted Median Filtering for Stereo Matching and Beyond, ICCV, pp. 1-8, 2013.
|
10 |
M. Michael, J. Salmen, J. Stallkamp, M. Schlipsing, Real-time stereo vision: optimizing semi-global matching, in: Proc. IEEE Intelligent Vehicles Symposium (IV), pp. 1197-1202, 2013.
|
11 |
N. Manap, J. Soraghan, Disparity refinement based on depth image layers separation for stereo matching algorithms, J. Telecommun. Electron. Comput. Eng. 4 (1), pp. 51-64, 2012.
|
12 |
V. Gonzalez, I. Cabezas, Estimacion de puntos correspondientes mediante programacion dinamica, Congreso Multimedia, 2009.
|
13 |
M. Gong, R.G. Yang, W. Liang, M.W. Gong, A performance study on different cost aggregation approaches used in real-time stereo matching, IJCV 75, pp. 283-296, 2007.
DOI
|
14 |
W. Fife, J. Archibald, Improved census transforms for resource-optimized stereo vision, IEEE TCSVT 23, pp. 60-73, 2013.
|
15 |
N.Y. Chang, T. Tsai, B. Hsu, Y. Chen, T. Chang, Algorithm and architecture of disparity estimation with mini-census adaptive support weight, IEEE TCSVT 20 (6), pp.792-805, 2010.
|
16 |
X. Sun, X. Mei, S. Jiao, M. Zhou, H. Wang, Stereo Matching with Reliable Disparity Propagation, 3DIMPVT, 2011.
|
17 |
C. Cigla, A.A. Alatan, Information Permeability for Stereo Matching, Elsevier Signal Processing: Image Communication, 2013.
|
18 |
F. Tombari, S. Mattoccia, L. Di Stefano, E. Addimanda, Classification and Evaluation of Cost Aggregation Methods for Stereo Correspondence, CVPR, pp. 1-8, 2008.
|
19 |
K.-J. Yoon, I.S. Kweon, Adaptive support-weight approach for correspondence search, IEEE TPAMI 28, pp. 650-656, 2006.
DOI
|
20 |
L. Di Stefano, F. Tombari, S. Mattoccia, Segmentation-based adaptive support for accurate stereo correspondence, IEEE Pacific-Rim Symp. Image and Video, 2007
|
21 |
K. He, J. Sun, and X. Tang, Guided image filtering, ECCV, 2010
|
22 |
A. Hosni, C. Rhemann, M. Bleyer, C. Rother, M. Gelautz, Fast cost-volumefiltering for visual correspondence and beyond, IEEE TPAMI 35 (2), pp. 504-511, 2013.
DOI
|
23 |
V. Kolmogorov, R. Zabih, Computing Visual Correspondence with Occlusions Using Graph Cuts, ICCV, 2, pp. 508-515, 2001.
|
24 |
A. Klaus, M. Sormann, K. Karner, Segment-based Stereo Matching Using Belief Propagation and a Self-adapting Dissimilarity Measure, ICPR, pp. 15-18, 2006.
|
25 |
Z.F. Wang, Z.G. Zheng, A Region Based Stereo Matching Algorithm Using Cooperative Optimization, CVPR, pp. 1-8, 2009.
|
26 |
J. Kim, K. Lee, B. Choi, S. Lee, A Dense Stereo Matching Using Two-pass Dynamic Programming with Generalized Ground Control Points, CVPR, pp. 1075-1082, 2005.
|