Literature DB >> 3973765

Structure from stereo and motion.

W Richards.   

Abstract

Stereopsis and motion parallax are two methods for recovering three-dimensional (3D) shapes. Theoretical analyses of each method show that neither alone can recover rigid 3D shapes correctly unless other information, such as perspective and vertical disparity, is included. The solutions for recovering rigid structure from motion have a reflection ambiguity; the depth scale of the stereoscopic solution will not be known unless the fixation distance is specified in units of interpupil separation. (Hence the configuration will appear distorted.) However, the correct configuration and disposition of a rigid 3D shape can be recovered if stereopsis and motion are integrated, for then a unique solution follows from a set of linear equations. The correct interpretation requires only three points and two stereo views.

Mesh:

Year:  1985        PMID: 3973765     DOI: 10.1364/josaa.2.000343

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  12 in total

1.  The interplay between stereopsis and structure from motion.

Authors:  M Nawrot; R Blake
Journal:  Percept Psychophys       Date:  1991-03

2.  Haptic perception disambiguates visual perception of 3D shape.

Authors:  Maarten W A Wijntjes; Robert Volcic; Sylvia C Pont; Jan J Koenderink; Astrid M L Kappers
Journal:  Exp Brain Res       Date:  2009-02-08       Impact factor: 1.972

3.  Recovering viewer-centered depth from disparity, occlusion, and velocity gradients.

Authors:  M L Braunstein; G J Andersen; M W Rouse; J S Tittle
Journal:  Percept Psychophys       Date:  1986-10

4.  Recovery of 3-D shape from binocular disparity and structure from motion.

Authors:  J S Tittle; M L Braunstein
Journal:  Percept Psychophys       Date:  1993-08

5.  Limits of dynamic object perception in pigeons: dynamic stimulus presentation does not enhance perception and discrimination of complex shape.

Authors:  Michaela Loidolt; Ulrike Aust; Michael Steurer; Nikolaus F Troje; Ludwig Huber
Journal:  Learn Behav       Date:  2006-02       Impact factor: 1.986

6.  Adapting internal statistical models for interpreting visual cues to depth.

Authors:  Anna Seydell; David C Knill; Julia Trommershäuser
Journal:  J Vis       Date:  2010-04-05       Impact factor: 2.240

7.  Visual depth from motion parallax and eye pursuit.

Authors:  Keith Stroyan; Mark Nawrot
Journal:  J Math Biol       Date:  2011-06-22       Impact factor: 2.259

8.  MT neurons combine visual motion with a smooth eye movement signal to code depth-sign from motion parallax.

Authors:  Jacob W Nadler; Mark Nawrot; Dora E Angelaki; Gregory C DeAngelis
Journal:  Neuron       Date:  2009-08-27       Impact factor: 17.173

9.  Perceptual integration for qualitatively different 3-D cues in the human brain.

Authors:  Dicle Dövencioğlu; Hiroshi Ban; Andrew J Schofield; Andrew E Welchman
Journal:  J Cogn Neurosci       Date:  2013-05-06       Impact factor: 3.225

10.  Failures of stereoscopic shape constancy over changes of viewing distance and size for bilaterally symmetric polyhedra.

Authors:  Ying Yu; James T Todd; Alexander A Petrov
Journal:  J Vis       Date:  2021-06-07       Impact factor: 2.240

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