Chen Pei-Yin, Chen Chien-Chung, Tyler Christopher W
Department of Psychology, National Taiwan University, Taipei,
Center for Neurobiology and Cognitive Science, National Taiwan University, Taipei,
J Vis. 2016 Sep 1;16(11):20. doi: 10.1167/16.11.20.
Does human vision show the contrast invariance expected of an ideal stereoscopic system for computing depth from disparity? We used random-dot stereograms to investigate the luminance contrast effect on perceived depth from disparity. The perceived depth of disparity corrugations was measured by adjusting the length of a horizontal line to match the perceived depth of the corrugations at various luminance contrasts. At each contrast, the perceived depth increased with disparity up to a critical value, decreasing with further increases in disparity. Both the maximum perceived depth and the disparity modulation level where this maximum occurred changed as a sigmoid function of luminance contrast. These results show that perceived depth from disparity depends in a complex manner on the luminance contrast in the image, providing significant limitations on depth perception at low contrasts in a lawful manner but that are incompatible with existing models of cortical disparity processing.
人类视觉是否展现出理想立体视觉系统在通过视差计算深度时所预期的对比度不变性?我们使用随机点立体图来研究亮度对比度对视差引起的深度感知的影响。通过调整一条水平线的长度,使其与不同亮度对比度下的波纹视差所感知到的深度相匹配,来测量视差波纹的感知深度。在每个对比度下,感知深度随着视差增加到一个临界值而增加,随着视差进一步增加而减小。最大感知深度以及出现此最大值的视差调制水平均作为亮度对比度的S形函数而变化。这些结果表明,视差引起的深度感知以复杂的方式依赖于图像中的亮度对比度,以一种合法的方式在低对比度下对深度感知施加了显著限制,但与现有的皮质视差处理模型不兼容。