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A motion-in-depth model based on inter-ocular velocity to estimate direction in depth.
Vision Research ( IF 1.5 ) Pub Date : 2020-05-07 , DOI: 10.1016/j.visres.2020.04.002
Wei Wu 1 , Yasuhiro Hatori 2 , Chia-Huei Tseng 2 , Kazumichi Matsumiya 3 , Ichiro Kuriki 2 , Satoshi Shioiri 2
Affiliation  

Perception of motion in depth is one of the most important visual functions for living in the three-dimensional world. Two binocular cues have been investigated for motion in depth: inter-ocular velocity difference (IOVD) and changing disparity (CD). IOVD provides direction information directly by comparing velocity signals from the two retinas. In this study, we propose for the first time a motion-in-depth model of IOVD that predicts motion-in-depth direction. The model is based on a psychophysical assumption that there are four channels tuned to different directions in depth (Journal of Physiology 235 (1973) 17-29). We modeled these channels by combining outputs of low-level motion detectors that are sensitive to left and right retinal stimulation. Using these channels, we constructed a model of motion in depth that successfully predicted a variety of psychophysical results including direction discrimination, perceived direction, spatial frequency tuning, effect of speed on rotation in depth, effect of lateral motion direction, and effect of binocular and temporal correlations.

中文翻译:

一种基于眼速估计深度方向的深度运动模型。

深度运动感知是生活在三维世界中最重要的视觉功能之一。对于深度运动,已经研究了两种双眼线索:眼速差(IOVD)和视差变化(CD)。IOVD通过比较来自两个视网膜的速度信号直接提供方向信息。在这项研究中,我们首次提出了IOVD的深度运动模型,该模型可以预测深度运动方向。该模型基于心理生理假设,即有四个通道在深度上已调整到不同的方向(Journal of Physiology 235(1973)17-29)。我们通过组合对左右视网膜刺激敏感的低级运动检测器的输出来对这些通道进行建模。使用这些渠道,
更新日期:2020-05-07
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