期刊
VISUAL NEUROSCIENCE
卷 26, 期 1, 页码 109-121出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0952523808080875
关键词
-
资金
- NTH [EY11747]
- NATIONAL EYE INSTITUTE [R01EY011747] Funding Source: NIH RePORTER
Correctly interpreting a natural image requires dealing properly with the effects of occlusion. and hence, contour grouping across occlusions is a major component of many natural visual tasks. To better understand the mechanisms of contour grouping across Occlusions, we (a) measured the pair-wise statistics of edge elements from contours in natural images, as a function of edge element geometry and contrast polarity, (b) derived the ideal Bayesian observer for a contour occlusion task where the stimuli were extracted directly from natural images, and then (c) measured human performance in the same contour occlusion task. In addition to discovering new statistical properties of natural contours, we found that nave human observers closely parallel ideal performance in our contour occlusion task. In fact, there was no region of the four-dimensional stimulus space (three geometry dimensions and one contrast dimension) where humans did not closely parallel the performance of the ideal observer (i.e., efficiency was approximately constant over the entire space). These results reject many other contour grouping hypotheses and strongly suggest that the neural mechanisms of contour grouping are tightly related to the statistical properties of contours in natural images.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据