Saunders Jeffrey A, Chen Zhongting
Department of Psychology, University of Hong Kong, Hong Kong, Hong Kong SAR.
J Vis. 2015 Feb 10;15(2):14. doi: 10.1167/15.2.14.
Multiple cues are typically available for perceiving the 3D slant of surfaces, and slant perception has been used as a test case for investigating cue integration. Previous evidence suggests that texture and stereo slant cues contribute in an optimal Bayesian manner. We tested whether a Bayesian model could also account for perceptual underestimation of slant from texture. One explanation proposed by Todd, Christensen, and Guckes (2010) is that slant from texture is based on an inaccurate optical variable. An alternative Bayesian explanation is that perceptual underestimation is due to the influence of frontal cues and/or a frontal prior, which is weighted according to the reliability of slant cues. We measured slant perception using a hand-alignment task for conditions that provided only texture, only stereo, or combined texture and stereo cues. Slant estimates from monocular texture showed large biases toward frontal, with proportionally more underestimation at low slants than high slants. Slant estimates from stereo alone were more accurate, and adding texture information did not reduce accuracy. These results are consistent with a frontal influence that is decreasingly weighted as slant information becomes more reliable. We also included conditions with small cue conflicts to measure the relative weighting of texture and stereo cues. Consistent with previous studies, texture had a significant effect on slant estimates in binocular conditions, and the relative weighting of texture increased with slant. In some cases, perceived slant from combined stereo and texture cues was higher than from either cue in isolation. Both the perceptual biases and the cue weights were generally consistent with a Bayesian model that optimally integrates texture and stereo slant cues with frontal cues and/or a frontal prior.
通常可以利用多种线索来感知表面的三维倾斜度,而倾斜度感知已被用作研究线索整合的一个测试案例。先前的证据表明,纹理和立体倾斜线索以最优贝叶斯方式起作用。我们测试了贝叶斯模型是否也能解释从纹理感知倾斜度时的感知低估现象。托德、克里斯蒂安森和古克斯(2010年)提出的一种解释是,纹理倾斜度基于一个不准确的光学变量。另一种贝叶斯解释是,感知低估是由于正面线索和/或正面先验的影响,其根据倾斜线索的可靠性进行加权。我们使用手动对齐任务测量了仅提供纹理、仅提供立体视觉或同时提供纹理和立体视觉线索条件下的倾斜度感知。单眼纹理的倾斜度估计显示出对正面有很大偏差,低倾斜度时的低估比例比高倾斜度时更大。单独立体视觉的倾斜度估计更准确,添加纹理信息并没有降低准确性。这些结果与随着倾斜度信息变得更可靠,正面影响的权重逐渐降低是一致的。我们还设置了线索冲突较小的条件来测量纹理和立体视觉线索的相对权重。与先前的研究一致,在双眼条件下,纹理对倾斜度估计有显著影响,且纹理的相对权重随倾斜度增加。在某些情况下,立体视觉和纹理线索组合下的感知倾斜度高于单独任何一种线索下的感知倾斜度。感知偏差和线索权重通常都与一个贝叶斯模型一致,该模型将纹理和立体倾斜线索与正面线索和/或正面先验进行最优整合。