Learning Depth from Single Monocular Images
暂无分享,去创建一个
[1] Rama Chellappa,et al. New algorithms from reconstruction of a 3-D depth map from one or more images , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Narendra Ahuja,et al. Performance Analysis of Stereo, Vergence, and Focus as Depth Cues for Active Vision , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Pawan Sinha,et al. Top-down influences on stereoscopic depth-perception , 1998, Nature Neuroscience.
[4] D. Scharstein,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).
[5] J. Loomis. Looking down is looking up , 2001, Nature.
[6] Masaaki Ikehara,et al. HMM-based surface reconstruction from single images , 2002, Proceedings. International Conference on Image Processing.
[7] A. Willsky. Multiresolution Markov models for signal and image processing , 2002, Proc. IEEE.
[8] Jean Ponce,et al. Computer Vision: A Modern Approach , 2002 .
[9] Giuseppina C. Gini,et al. Indoor Robot Navigation With Single Camera Vision , 2002, PRIS.
[10] Martial Hebert,et al. Discriminative Fields for Modeling Spatial Dependencies in Natural Images , 2003, NIPS.
[11] Antonio Torralba,et al. Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes , 2003, NIPS.
[12] Miguel Á. Carreira-Perpiñán,et al. Multiscale conditional random fields for image labeling , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[13] Zijiang J. He,et al. Perceiving distance accurately by a directional process of integrating ground information , 2004, Nature.
[14] Ashutosh Saxena,et al. High speed obstacle avoidance using monocular vision and reinforcement learning , 2005, ICML.
[15] Masaaki Ikehara,et al. HMM-based surface reconstruction from single images , 2002, Proceedings. International Conference on Image Processing.