A depth adaptation system based on perceptual horopter effect

Chien Wu, Chung-Te Li, Yen-Chieh Lai, Liang-Gee Chen
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Abstract

This paper presented a depth adaptation system. At first, the proposed method uses saliency detection algorithm to determine visual attention, and then it applies depth shifting to reduce convergence and accommodation conflict. We also took human perceptual effect into consideration, and proposed an iso-perceptual disparity curve for horopter remapping. By using subjective tests, subjects are asked to score overall preference and comfortable feelings on the stereo images.
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基于感知反射效应的深度自适应系统
本文提出了一种深度自适应系统。该方法首先采用显著性检测算法确定视觉注意力,然后采用深度偏移算法降低收敛性和调节冲突。我们还考虑了人的感知效应,提出了一种等感知视差曲线。通过主观测试,受试者被要求对立体图像的总体偏好和舒适感觉进行评分。
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