Literature DB >> 21865339

Contribution of motion parallax to segmentation and depth perception.

Ahmad Yoonessi1, Curtis L Baker.   

Abstract

Relative image motion resulting from active movement of the observer could potentially serve as a powerful perceptual cue, both for segmentation of object boundaries and for depth perception. To examine the perceptual role of motion parallax from shearing motion, we measured human performance in three psychophysical tasks: segmentation, depth ordering, and depth magnitude estimation. Stimuli consisted of random dot textures that were synchronized to head movement with sine- or square-wave modulation patterns. Segmentation was assessed with a 2AFC orientation judgment of a motion-defined boundary. In the depth-ordering task, observers reported which modulation half-cycle appeared in front of the other. Perceived depth magnitude was matched to that of a 3D rendered image with multiple static cues. The results indicate that head movement might not be important for segmentation, even though it is crucial for obtaining depth from motion parallax--thus, concomitant depth perception does not appear to facilitate segmentation. Our findings suggest that segmentation works best for abrupt, sharply defined motion boundaries, whereas smooth gradients are more powerful for obtaining depth from motion parallax. Thus, motion parallax may contribute in a different manner to segmentation and to depth perception and suggests that their underlying mechanisms might be distinct.

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Year:  2011        PMID: 21865339     DOI: 10.1167/11.9.13

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  2 in total

Review 1.  The neural basis of depth perception from motion parallax.

Authors:  HyungGoo R Kim; Dora E Angelaki; Gregory C DeAngelis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-06-19       Impact factor: 6.237

2.  Depth perception from dynamic occlusion in motion parallax: roles of expansion-compression versus accretion-deletion.

Authors:  Ahmad Yoonessi; Curtis L Baker
Journal:  J Vis       Date:  2013-10-15       Impact factor: 2.240

  2 in total

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