• DocumentCode
    2991946
  • Title

    Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence

  • Author

    Weinshall, Daphna

  • Author_Institution
    MIT, Cambridge, MA, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    159
  • Lastpage
    164
  • Abstract
    The author concentrates on the problem of obtaining depth information from binocular disparities. It is motivated by the fact that implementing registration algorithms and using the results for depth computations is hard in practice with real images due to noise and quantization errors. It is shown that qualitative depth information can be obtained from stereo disparities with almost no computations, and with no prior knowledge (or computation) of camera parameters. The only constraint is that the epipolar plane of the fixation point includes the X-axes of both cameras. Two expressions are derived that order all matched points in the images in two distinct depth-consistent ways from image coordinates only. One is a tilt-related order λ, which depends only on the polar angles of the matched points, the other is a depth-related order χ. Using λ for tilt estimation and point separation (in depth) demonstrates some anomalies and unusual characteristics that have been observed in psychophysical experiments, most notably the induced size effect
  • Keywords
    error analysis; picture processing; visual perception; camera parameters; horizontal binocular disparities; image coordinates; picture processing; point separation; qualitative depth information; quantization errors; stereo disparities; stereo vision; vertical binocular disparities; Calibration; Cameras; Closed-form solution; Differential equations; Eyes; Geometry; Humans; Psychology; Quantization; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196230
  • Filename
    196230