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Volumn 3, Issue January, 2014, Pages 2366-2374

Depth map prediction from a single image using a multi-scale deep network

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; INFORMATION SCIENCE; STEREO IMAGE PROCESSING;

EID: 84937943470     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3968)

References (21)
  • 2
    • 84898832490 scopus 로고    scopus 로고
    • Data-driven 3d primitives for single image understanding
    • D. F. Fouhey, A. Gupta, and M. Hebert. Data-driven 3d primitives for single image understanding. In ICCV, 2013.
    • (2013) ICCV
    • Fouhey, D.F.1    Gupta, A.2    Hebert, M.3
  • 7
    • 84887384531 scopus 로고    scopus 로고
    • Depth extraction from video using nonparametric sampling
    • K. Karsch, C. Liu, S. B. Kang, and N. England. Depth extraction from video using nonparametric sampling. In TPAMI, 2014.
    • (2014) TPAMI
    • Karsch, K.1    Liu, C.2    Kang, S.B.3    England, N.4
  • 9
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 10
    • 36949035987 scopus 로고    scopus 로고
    • Image and depth from a conventional camera with a coded aperture
    • A. Levin, R. Fergus, F. Durand, and W. T. Freeman. Image and depth from a conventional camera with a coded aperture. In SIGGRAPH, 2007.
    • (2007) SIGGRAPH
    • Levin, A.1    Fergus, R.2    Durand, F.3    Freeman, W.T.4
  • 12
    • 84911412663 scopus 로고    scopus 로고
    • Pulling things out of perspective
    • M. P. Lubor Ladicky, Jianbo Shi. Pulling things out of perspective. In CVPR, 2014.
    • (2014) CVPR
    • Lubor Ladicky, M.P.1    Shi, J.2
  • 14
    • 31844450882 scopus 로고    scopus 로고
    • High speed obstacle avoidance using monocular vision and reinforcement learning
    • J. Michels, A. Saxena, and A. Y. Ng. High speed obstacle avoidance using monocular vision and reinforcement learning. In ICML, pages 593-600, 2005.
    • (2005) ICML , pp. 593-600
    • Michels, J.1    Saxena, A.2    Ng, A.Y.3
  • 15
    • 77953066727 scopus 로고    scopus 로고
    • Learning depth from single monocular images
    • A. Saxena, S. H. Chung, and A. Y. Ng. Learning depth from single monocular images. In NIPS, 2005.
    • (2005) NIPS
    • Saxena, A.1    Chung, S.H.2    Ng, A.Y.3
  • 16
    • 70450144523 scopus 로고    scopus 로고
    • Make3d: Learning 3-d scene structure from a single still image
    • A. Saxena, M. Sun, and A. Y. Ng. Make3d: Learning 3-d scene structure from a single still image. TPAMI, 2008.
    • (2008) TPAMI
    • Saxena, A.1    Sun, M.2    Ng, A.Y.3
  • 17
    • 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, 47:7-42, 2002.
    • (2002) IJCV , vol.47 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2
  • 18
    • 84881536861 scopus 로고    scopus 로고
    • Indoor segmentation and support inference from rgbd images
    • N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, 2012.
    • (2012) ECCV
    • Silberman, N.1    Hoiem, D.2    Kohli, P.3    Fergus, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.