一种不使用任何眼动信息从立体输入恢复深度的计算模型

T. Sawada
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引用次数: 1

摘要

人们普遍认为,视觉系统需要动眼肌信息来从双眼视差感知深度。然而,动眼力信息对深度感知的任何影响都过于有限,无法解释自然观看条件下的深度感知。在这项研究中,我描述了一个计算模型,可以从一个立体对视网膜图像中恢复深度,而不使用任何动眼肌信息。该模型表明,至少从计算的角度来看,任何眼动信息对于从立体视网膜图像感知深度都是不必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Computational Model that Recovers Depth from Stereo-Input without Using Any Oculomotor Information
It is commonly believed that the visual system requires oculomotor information to perceive depth from binocular disparity. However, any effect of the oculomotor information on depth perception is too restricted to explain depth perception under natural viewing conditions. In this study, I describe a computational model that can recover depth from a stereo-pair of retinal images without using any oculomotor information. The model shows that, at least from a computational perspective, any oculomotor information is not necessary for perceiving depth from the stereo retinal images.
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