基于分层随机点立体图的个人双目视觉标定

Min-Koo Kang, Sung-Kyu Kim
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引用次数: 1

摘要

只要在3D显示器中使用立体视觉,视觉不适(VD)是不可避免的,并且在深度印象和视觉舒适之间存在权衡。因此,考虑VD感知的深度印象控制技术引起了研究人员的极大兴趣。然而,VD感知因各种个人因素和环境因素而有显著差异,评估VD感知仍然需要花费大量的时间和精力进行观看测试。我们提出了一种简单可靠的方法来校准立体敏锐度、双眼融合极限和个人对深度感知的偏好。在实验中,有四名非专业观众参加,并给予他们相同的观看条件。实验结果证实,除了参与者之间的细微差异外,人类双目视觉的校准特征与文献一致。该方法将应用于从视频采集到显示的整个3D视频技术链。
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Personal binocular vision calibration using layered random dot stereogram
Visual discomfort (VD) is inevitable as long as stereoscopy is used in 3D displays, and there's a trade-off between depth impression and visual comfort. For this reason, technologies that control depth impression considering VD perception have attracted great interest of researchers. However, VD perception significantly varies according to various personal-factors as well as environmental factors, and evaluating VD perception still takes a lot of time and effort for viewing tests. We propose a simple and reliable method that calibrates stereo acuities, binocular fusion limits, and preferences for depth perception of individuals. For the experiment, four non-expert viewers attended, and the same viewing conditions were given to them. The experimental result confirmed that calibrated features in human binocular vision coincide with the literature except for slight variations among the attendees. The proposed method would be utilized across the whole 3D video technology chain from video capture to the display.
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