메뉴 건너뛰기




Volumn 07-12-June-2015, Issue , 2015, Pages 548-556

Layered RGBD scene flow estimation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MOTION ESTIMATION;

EID: 84959188779     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298653     Document Type: Conference Paper
Times cited : (69)

References (51)
  • 1
    • 85026927576 scopus 로고    scopus 로고
    • http://people. seas. harvard. edu/dqsun/
  • 2
    • 85026932948 scopus 로고    scopus 로고
    • http://www. mathworks. com/matlabcentral/fileexchange/26186-absolute-orientation-horn-s-method
  • 3
    • 0001492549 scopus 로고    scopus 로고
    • Shape quantization and recognition with randomized trees
    • Y. Amit and D. Geman. Shape quantization and recognition with randomized trees. Neural computation, 9(7):1545-1588, 1997
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 4
    • 0029224188 scopus 로고
    • Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding
    • S. Ayer and H. S. Sawhney. Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding. In IEEE International Conference on Computer Vision, 1995
    • (1995) IEEE International Conference on Computer Vision
    • Ayer, S.1    Sawhney, H.S.2
  • 5
    • 79952183860 scopus 로고    scopus 로고
    • A database and evaluation methodology for optical flow
    • March
    • S. Baker, D. Scharstein, J. P. Lewis, S. Roth, M. J. Black, and R. Szeliski. A database and evaluation methodology for optical flow. IJCV, 92(1):1-31, March 2011
    • (2011) IJCV , vol.92 , Issue.1 , pp. 1-31
    • Baker, S.1    Scharstein, D.2    Lewis, J.P.3    Roth, S.4    Black, M.J.5    Szeliski, R.6
  • 7
    • 84873191031 scopus 로고    scopus 로고
    • Multi-view scene flow estimation: A view centered variational approach
    • T. Basha, Y. Moses, and N. Kiryati. Multi-view scene flow estimation: A view centered variational approach. IJCV, 101(1):6-21, 2013
    • (2013) IJCV , vol.101 , Issue.1 , pp. 6-21
    • Basha, T.1    Moses, Y.2    Kiryati, N.3
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 10
    • 79551562584 scopus 로고    scopus 로고
    • Large displacement optical flow: Descriptor matching in variational motion estimation
    • Mar
    • T. Brox and J. Malik. Large displacement optical flow: Descriptor matching in variational motion estimation. IEEE TPAMI, 33(3):500-513, Mar. 2011
    • (2011) IEEE TPAMI , vol.33 , Issue.3 , pp. 500-513
    • Brox, T.1    Malik, J.2
  • 12
    • 0029308942 scopus 로고
    • Cooperative robust estimation using layers of support
    • May
    • T. Darrell and A. Pentland. Cooperative robust estimation using layers of support. IEEE TPAMI, 17(5):474-487, May 1995
    • (1995) IEEE TPAMI , vol.17 , Issue.5 , pp. 474-487
    • Darrell, T.1    Pentland, A.2
  • 17
    • 85026935358 scopus 로고    scopus 로고
    • Scene particles: Unregularized particle based scene flow estimation
    • S. Hadfield and R. Bowden. Scene particles: Unregularized particle based scene flow estimation. IEEE TPAMI, 36:3, 2013
    • (2013) IEEE TPAMI , vol.36 , pp. 3
    • Hadfield, S.1    Bowden, R.2
  • 20
    • 84975553202 scopus 로고
    • Closed-form solution of absolute orientation using unit quaternions
    • B. K. Horn. Closed-form solution of absolute orientation using unit quaternions. JOSA A, 4(4):629-642, 1987
    • (1987) JOSA A , vol.4 , Issue.4 , pp. 629-642
    • Horn, B.K.1
  • 21
  • 23
    • 38349150849 scopus 로고    scopus 로고
    • Learning layered motion segmentations of video
    • March
    • M. Kumar, P. Torr, and A. Zisserman. Learning layered motion segmentations of video. IJCV, 76(3):301-319, March 2008
    • (2008) IJCV , vol.76 , Issue.3 , pp. 301-319
    • Kumar, M.1    Torr, P.2    Zisserman, A.3
  • 25
    • 12844287465 scopus 로고    scopus 로고
    • Colorization using optimization
    • ACM
    • A. Levin, D. Lischinski, and Y. Weiss. Colorization using optimization. In ACM TOG, volume 23, pages 689-694. ACM, 2004
    • (2004) ACM TOG , vol.23 , pp. 689-694
    • Levin, A.1    Lischinski, D.2    Weiss, Y.3
  • 26
    • 70349655519 scopus 로고    scopus 로고
    • Local layering
    • Aug
    • J. McCann and N. S. Pollard. Local layering. Siggraph, 28(3), Aug. 2009
    • (2009) Siggraph , vol.28 , Issue.3
    • McCann, J.1    Pollard, N.S.2
  • 33
    • 84898775168 scopus 로고    scopus 로고
    • Tracking revisited using rgbd camera: Unified benchmark and baselines
    • IEEE
    • S. Song and J. Xiao. Tracking revisited using rgbd camera: Unified benchmark and baselines. In IEEE Inter-national Conference on Computer Vision, pages 233-240. IEEE, 2013
    • (2013) IEEE Inter-national Conference on Computer Vision , pp. 233-240
    • Song, S.1    Xiao, J.2
  • 34
    • 84906344350 scopus 로고    scopus 로고
    • Sliding shapes for 3d object detection in depth images
    • Springer
    • S. Song and J. Xiao. Sliding shapes for 3d object detection in depth images. In European Conference on Computer Vision, pages 634-651. Springer, 2014
    • (2014) European Conference on Computer Vision , pp. 634-651
    • Song, S.1    Xiao, J.2
  • 35
    • 72149090968 scopus 로고    scopus 로고
    • Shared segmentation of natural scenes using dependent Pitman-Yor processes
    • E. Sudderth and M. Jordan. Shared segmentation of natural scenes using dependent Pitman-Yor processes. In Neural Information Processing Systems, pages 1585-1592, 2009
    • (2009) Neural Information Processing Systems , pp. 1585-1592
    • Sudderth, E.1    Jordan, M.2
  • 38
    • 84894901673 scopus 로고    scopus 로고
    • A quantitative analysis of current practices in optical flow estimation and the principles behind them
    • D. Sun, S. Roth, and M. J. Black. A quantitative analysis of current practices in optical flow estimation and the principles behind them. IJCV, 106(2):15-137, 2014
    • (2014) IJCV , vol.106 , Issue.2 , pp. 15-137
    • Sun, D.1    Roth, S.2    Black, M.J.3
  • 39
    • 85161961413 scopus 로고    scopus 로고
    • Layered image motion with explicit occlusions, temporal consistency, and depth ordering
    • D. Sun, E. B. Sudderth, and M. J. Black. Layered image motion with explicit occlusions, temporal consistency, and depth ordering. In Neural Information Processing Systems, pages 2226-2234, 2010
    • (2010) Neural Information Processing Systems , pp. 2226-2234
    • Sun, D.1    Sudderth, E.B.2    Black, M.J.3
  • 44
    • 0028498068 scopus 로고
    • Representing moving images with layers
    • Sept
    • J. Y. A. Wang and E. H. Adelson. Representing moving images with layers. IEEE TIP, 3(5):625-638, Sept. 1994
    • (1994) IEEE TIP , vol.3 , Issue.5 , pp. 625-638
    • Wang, J.Y.A.1    Adelson, E.H.2
  • 46
    • 0030683247 scopus 로고    scopus 로고
    • Smoothness in layers: Motion segmentation using nonparametric mixture estimation
    • Y. Weiss. Smoothness in layers: Motion segmentation using nonparametric mixture estimation. In IEEE Conference on Computer Vision and Pattern Recognition, pages 520-526, 1997
    • (1997) IEEE Conference on Computer Vision and Pattern Recognition , pp. 520-526
    • Weiss, Y.1
  • 49
    • 84865609390 scopus 로고    scopus 로고
    • Motion detail preserving optical flow estimation
    • L. Xu, J. Jia, and Y. Matsushita. Motion detail preserving optical flow estimation. IEEE TPAMI, 34(9):1744-1757, 2012
    • (2012) IEEE TPAMI , vol.34 , Issue.9 , pp. 1744-1757
    • Xu, L.1    Jia, J.2    Matsushita, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.