Limits on depth scaling from motion/stereo interaction

被引:0
|
作者
Landy, M. S. [1 ,2 ]
Brenner, E. [3 ]
机构
[1] NYU, Dept Psychol, New York, NY 10003 USA
[2] NYU, Ctr Neural Sci, New York, NY 10003 USA
[3] Erasmus Univ, NL-3000 DR Rotterdam, Netherlands
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
引用
收藏
页码:46 / 47
页数:2
相关论文
共 50 条
  • [21] Flow-Motion and Depth Network for Monocular Stereo and Beyond
    Wang, Kaixuan
    Shen, Shaojie
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (02): : 3307 - 3314
  • [22] Selection of ground motion time series and limits on scaling
    Watson-Lamprey, J
    Abrahamson, N
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2006, 26 (05) : 477 - 482
  • [23] STRUCTURE FROM STEREO AND MOTION
    RICHARDS, W
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1985, 2 (02): : 343 - 349
  • [24] Qualitative depth from stereo, with applications
    Weinshall, Daphna, 1600, (49):
  • [25] Depth Recovery from Stereo Images
    Induchoodan, P. R.
    Josemartin, M. J.
    Geetharanjin, P. R.
    2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2014, : 745 - 750
  • [26] QUALITATIVE DEPTH FROM STEREO, WITH APPLICATIONS
    WEINSHALL, D
    COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1990, 49 (02): : 222 - 241
  • [27] DEPTH FROM STEREO IMAGE FLOW
    CHANG, CC
    CHATTERJEE, S
    1989 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-3: CONFERENCE PROCEEDINGS, 1989, : 586 - 591
  • [28] Unsupervised Deep Learning of Depth, Ego-Motion, and Optical Flow from Stereo Images
    Yang, Delong
    Luo, Zhaohui
    Shang, Peng
    Hu, Zhigang
    2021 9TH INTERNATIONAL CONFERENCE ON TRAFFIC AND LOGISTIC ENGINEERING (ICTLE), 2021, : 51 - 56
  • [29] Reversed stereo depth and motion direction with anti-correlated stimuli
    Read, JCA
    Eagle, RA
    VISION RESEARCH, 2000, 40 (24) : 3345 - 3358
  • [30] Modeling the combination of motion, stereo, and vergence angle cues to visual depth
    Fine, I
    Jacobs, RA
    NEURAL COMPUTATION, 1999, 11 (06) : 1297 - 1330