메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1590-1597

Cross-scale cost aggregation for stereo matching

Author keywords

cost aggregation; multi scale; stereo matching

Indexed keywords

PATTERN RECOGNITION;

EID: 84911384499     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.206     Document Type: Conference Paper
Times cited : (193)

References (37)
  • 1
    • 84898409565 scopus 로고    scopus 로고
    • PatchMatch stereo-stereo matching with slanted support windows
    • M. Bleyer, C. Rhemann, and C. Rother. PatchMatch stereo-stereo matching with slanted support windows. In BMVC, 2011.
    • (2011) BMVC
    • Bleyer, M.1    Rhemann, C.2    Rother, C.3
  • 2
    • 0019570836 scopus 로고
    • Fast filter transform for image processing
    • P. J. Burt. Fast filter transform for image processing. CGIP, 1981.
    • (1981) CGIP
    • Burt, P.J.1
  • 3
    • 5044222280 scopus 로고    scopus 로고
    • Efficient belief propagation for early vision
    • P. Felzenszwalb and D. Huttenlocher. Efficient belief propagation for early vision. In CVPR, 2004.
    • (2004) CVPR
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 4
    • 84866704163 scopus 로고    scopus 로고
    • Are we ready for autonomous driving? the KITTI vision benchmark suite
    • A. Geiger, P. Lenz, and R. Urtasun. Are we ready for autonomous driving? The KITTI vision benchmark suite. In CVPR, 2012.
    • (2012) CVPR
    • Geiger, A.1    Lenz, P.2    Urtasun, R.3
  • 6
    • 84911365042 scopus 로고    scopus 로고
    • Why is the census transform good for robust optic flow computation?
    • D. Hafner, O. Demetz, and J. Weickert. Why is the census transform good for robust optic flow computation? In SSVM, 2013.
    • (2013) SSVM
    • Hafner, D.1    Demetz, O.2    Weickert, J.3
  • 7
    • 81255209862 scopus 로고    scopus 로고
    • Guided image filtering
    • K. He, J. Sun, and X. Tang. Guided image filtering. In ECCV, 2010.
    • (2010) ECCV
    • He, K.1    Sun, J.2    Tang, X.3
  • 8
    • 34948822300 scopus 로고    scopus 로고
    • Evaluation of cost functions for stereo matching
    • H. Hirschmuller and D. Scharstein. Evaluation of cost functions for stereo matching. In CVPR, 2007.
    • (2007) CVPR
    • Hirschmuller, H.1    Scharstein, D.2
  • 9
    • 84875145965 scopus 로고    scopus 로고
    • Secrets of adaptive support weight techniques for local stereo matching
    • A. Hosni, M. Bleyer, and M. Gelautz. Secrets of adaptive support weight techniques for local stereo matching. CVIU, 2013.
    • (2013) CVIU
    • Hosni, A.1    Bleyer, M.2    Gelautz, M.3
  • 10
    • 84885621333 scopus 로고    scopus 로고
    • Comparisons reducing for local stereo matching using hierarchical structure
    • W. Hu, K. Zhang, L. Sun, and S. Yang. Comparisons reducing for local stereo matching using hierarchical structure. In ICME, 2013.
    • (2013) ICME
    • Hu, W.1    Zhang, K.2    Sun, L.3    Yang, S.4
  • 12
    • 79953049203 scopus 로고    scopus 로고
    • SIFT flow: Dense correspondence across scenes and its applications
    • C. Liu, J. Yuen, and A. Torralba. SIFT flow: dense correspondence across scenes and its applications. TPAMI, 2011.
    • (2011) TPAMI
    • Liu, C.1    Yuen, J.2    Torralba, A.3
  • 13
    • 84887322636 scopus 로고    scopus 로고
    • Patch match filter: Efficient edge-aware filtering meets randomized search for fast correspondence field estimation
    • J. Lu, H. Yang, D. Min, and M. N. Do. Patch match filter: efficient edge-aware filtering meets randomized search for fast correspondence field estimation. In CVPR, 2013.
    • (2013) CVPR
    • Lu, J.1    Yang, H.2    Min, D.3    Do, M.N.4
  • 14
    • 0030076029 scopus 로고    scopus 로고
    • Is correspondence search in human stereo vision a coarse-to-fine process?
    • H. A. Mallot, S. Gillner, and P. A. Arndt. Is correspondence search in human stereo vision a coarse-to-fine process? Biological Cybernetics, 1996.
    • (1996) Biological Cybernetics
    • Mallot, H.A.1    Gillner, S.2    Arndt, P.A.3
  • 16
    • 84887382311 scopus 로고    scopus 로고
    • Segment-tree based cost aggregation for stereo matching
    • X. Mei, X. Sun, W. Dong, H. Wang, and X. Zhang. Segment-tree based cost aggregation for stereo matching. In CVPR, 2013.
    • (2013) CVPR
    • Mei, X.1    Sun, X.2    Dong, W.3    Wang, H.4    Zhang, X.5
  • 17
    • 0037221520 scopus 로고    scopus 로고
    • Stereoscopic depth processing in the visual cortex: A coarse-to-fine mechanism
    • M. D. Menz and R. D. Freeman. Stereoscopic depth processing in the visual cortex: a coarse-to-fine mechanism. Nature neuroscience, 2003.
    • (2003) Nature Neuroscience
    • Menz, M.D.1    Freeman, R.D.2
  • 18
    • 85032773691 scopus 로고    scopus 로고
    • A tour of modern image filtering: New insights and methods, both practical and theoretical
    • P. Milanfar. A tour of modern image filtering: new insights and methods, both practical and theoretical. IEEE Signal Processing Magazine, 2013.
    • (2013) IEEE Signal Processing Magazine
    • Milanfar, P.1
  • 19
    • 85081846890 scopus 로고    scopus 로고
    • Cost aggregation and occlusion handling with WLS in stereo matching
    • D. Min and K. Sohn. Cost aggregation and occlusion handling with WLS in stereo matching. TIP, 2008.
    • (2008) TIP
    • Min, D.1    Sohn, K.2
  • 21
    • 80052908093 scopus 로고    scopus 로고
    • Fast cost-volume filtering for visual correspondence and beyond
    • C. Rhemann, A. Hosni, M. Bleyer, C. Rother, and M. Gelautz. Fast cost-volume filtering for visual correspondence and beyond. In CVPR, 2011.
    • (2011) CVPR
    • Rhemann, C.1    Hosni, A.2    Bleyer, M.3    Rother, C.4    Gelautz, M.5
  • 22
    • 34948831560 scopus 로고    scopus 로고
    • Learning conditional random fields for stereo
    • D. Scharstein and C. Pal. Learning conditional random fields for stereo. In CVPR, 2007.
    • (2007) CVPR
    • Scharstein, D.1    Pal, C.2
  • 23
    • 0036537472 scopus 로고    scopus 로고
    • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
    • D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV, 2002.
    • (2002) IJCV
    • Scharstein, D.1    Szeliski, R.2
  • 25
    • 85081853993 scopus 로고    scopus 로고
    • Evaluation of a new coarse-to-fine strategy for fast semi-global stereo matching
    • H. Simon and K. Reinhard. Evaluation of a new coarse-to-fine strategy for fast semi-global stereo matching. Advances in Image and Video Technology, 2012.
    • (2012) Advances in Image and Video Technology
    • Simon, H.1    Reinhard, K.2
  • 26
    • 52049106373 scopus 로고    scopus 로고
    • Hierarchical stereo with thin structures and transparency
    • M. Sizintsev. Hierarchical stereo with thin structures and transparency. In CCCRV, 2008.
    • (2008) CCCRV
    • Sizintsev, M.1
  • 27
  • 28
    • 0032319446 scopus 로고    scopus 로고
    • Bilateral filtering for gray and color images
    • C. Tomasi and R. Manduchi. Bilateral filtering for gray and color images. In ICCV, 1998.
    • (1998) ICCV
    • Tomasi, C.1    Manduchi, R.2
  • 29
    • 51949093661 scopus 로고    scopus 로고
    • Classification and evaluation of cost aggregation methods for stereo correspondence
    • F. Tombari, S. Mattoccia, L. Di Stefano, and E. Addimanda. Classification and evaluation of cost aggregation methods for stereo correspondence. In CVPR, 2008.
    • (2008) CVPR
    • Tombari, F.1    Mattoccia, S.2    Di Stefano, L.3    Addimanda, E.4
  • 31
    • 51949119084 scopus 로고    scopus 로고
    • A region based stereo matching algorithm using cooperative optimization
    • Z.-F. Wang and Z.-G. Zheng. A region based stereo matching algorithm using cooperative optimization. In CVPR, 2008.
    • (2008) CVPR
    • Wang, Z.-F.1    Zheng, Z.-G.2
  • 33
    • 84866709607 scopus 로고    scopus 로고
    • A non-local cost aggregation method for stereo matching
    • Q. Yang. A non-local cost aggregation method for stereo matching. In CVPR, 2012.
    • (2012) CVPR
    • Yang, Q.1
  • 34
    • 59549096783 scopus 로고    scopus 로고
    • Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling
    • Q. Yang, L. Wang, R. Yang, H. Stewénius, and D. Nistér. Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling. TPAMI, 2009.
    • (2009) TPAMI
    • Yang, Q.1    Wang, L.2    Yang, R.3    Stewénius, H.4    Nistér, D.5
  • 35
    • 0042941434 scopus 로고    scopus 로고
    • Multi-resolution real-time stereo on commodity graphics hardware
    • R. Yang and M. Pollefeys. Multi-resolution real-time stereo on commodity graphics hardware. In CVPR, 2003.
    • (2003) CVPR
    • Yang, R.1    Pollefeys, M.2
  • 36
    • 33144482417 scopus 로고    scopus 로고
    • Adaptive support-weight approach for correspondence search
    • K.-J. Yoon and I. S. Kweon. Adaptive support-weight approach for correspondence search. TPAMI, 2006.
    • (2006) TPAMI
    • Yoon, K.-J.1    Kweon, I.S.2
  • 37
    • 0001638495 scopus 로고
    • Non-parametric local transforms for computing visual correspondence
    • R. Zabih and J. Woodfill. Non-parametric local transforms for computing visual correspondence. In ECCV, 1994.
    • (1994) ECCV
    • Zabih, R.1    Woodfill, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.