A computational theory for the perception of coherent visual motion.

Abstract:

:When we see motion, our perception of how one image feature moves depends on the behaviour of other features nearby. In particular, the Gestaltists proposed the law of shared common fate, in which features tend to be perceived as moving together, that is, coherently. Recent psychophysical findings, such as the cooperativity of the motion system and motion capture, support this law. Computationally, coherence is a sensible assumption, because if two features are close then they probably belong to the same object and thus tend to move together. Moreover, the measurement of local motion may be inaccurate and so the integration of motion information over large areas may help to improve the performance. Present theories of visual motion, however, do not account fully for these coherent motion percepts. We propose here a theory that does account for these phenomena and also provides a solution to the aperture problem, where the local information in the image flow is insufficient to specify the motion uniquely.

journal_name

Nature

journal_title

Nature

authors

Yuille AL,Grzywacz NM

doi

10.1038/333071a0

subject

Has Abstract

pub_date

1988-05-05 00:00:00

pages

71-4

issue

6168

eissn

0028-0836

issn

1476-4687

journal_volume

333

pub_type

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