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影响表面姿态判断准确性的纹理特性。

Texture properties affecting the accuracy of surface attitude judgements.

作者信息

Velisavljević Ljiljana, Elder James H

机构信息

Centre for Vision Research, York University, 4700 Keele Street, Toronto, Ont., Canada.

出版信息

Vision Res. 2006 Jul;46(14):2166-91. doi: 10.1016/j.visres.2006.01.010. Epub 2006 Feb 28.

DOI:10.1016/j.visres.2006.01.010
PMID:16504236
Abstract

Prior studies of the perception of surface shape and attitude from texture have focused on measuring the sensitivity of the visual system to the various geometric deformations induced by projection. Studies that examine variations in accuracy caused by spatial properties of the texture itself are fewer, and often confound multiple, potentially important properties. Here we examine the perception of surface attitude for a broad range of synthetic textures that may represent the types of structure encountered in the natural world. These stimuli allow us to isolate the respective roles of texels, spatial scale structure, discrete symmetries and regularity in the judgement of both the slant and tilt of textured surfaces. Texels, spatial scale structure and discrete symmetries were all found to play a role. Discrete rotational symmetries were found to be particularly important for accurate tilt estimation, likely mediated by skew symmetry and/or linear perspective cues. The operational range of viewing distances over which accurate attitude judgements can be made is greatly extended when texture structure is distributed over multiple scales. Small biases caused by variations in the spin of symmetric textures are observed and are consistent, at least qualitatively, with a Bayesian cue combination model previously proposed by .

摘要

先前关于从纹理感知表面形状和姿态的研究主要集中在测量视觉系统对投影引起的各种几何变形的敏感度。研究纹理本身的空间特性所导致的准确性变化的研究较少,并且常常混淆多种潜在重要特性。在这里,我们研究了一系列广泛的合成纹理的表面姿态感知,这些纹理可能代表自然界中遇到的结构类型。这些刺激使我们能够在判断纹理表面的倾斜和俯仰时,分离出纹理元素、空间尺度结构、离散对称性和规则性各自的作用。结果发现,纹理元素、空间尺度结构和离散对称性都发挥了作用。发现离散旋转对称性对于准确的俯仰估计尤为重要,可能是由斜对称和/或线性透视线索介导的。当纹理结构分布在多个尺度上时,能够进行准确姿态判断的观察距离操作范围会大大扩展。观察到由对称纹理的旋转变化引起的小偏差,并且至少在定性上与先前提出的贝叶斯线索组合模型一致。

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