Todd James T, Thaler Lore, Dijkstra Tjeerd M H, Koenderink Jan J, Kappers Astrid M L
Department of Psychology, The Ohio State University, Columbus, OH 43210, USA.
J Vis. 2007 Sep 21;7(12):9.1-16. doi: 10.1167/7.12.9.
Computational models for determining three-dimensional shape from texture based on local foreshortening or gradients of scaling are able to achieve accurate estimates of surface relief from an image when it is observed from the same visual angle with which it was photographed or rendered. These models produce conflicting predictions, however, when an image is viewed from a different visual angle. An experiment was performed to test these predictions, in which observers judged the apparent depth profiles of hyperbolic cylinders under a wide variety of conditions. The results reveal that the apparent patterns of relief from texture are systematically underestimated; convex surfaces appear to have greater depth than concave surfaces, large camera angles produce greater amounts of perceived depth than small camera angles, and the apparent depth-to-width ratio for a given image of a surface is greater for small viewing angles than for large viewing angles. Because these results are incompatible with all existing computational models, a new model is presented based on scaling contrast that can successfully account for all aspects of the data.
基于局部缩短或缩放梯度从纹理确定三维形状的计算模型,当从拍摄或渲染图像时的相同视角观察该图像时,能够从图像中准确估计表面起伏。然而,当从不同视角观察图像时,这些模型会产生相互矛盾的预测。进行了一项实验来测试这些预测,在实验中观察者在各种条件下判断双曲线柱体的表观深度轮廓。结果表明,纹理起伏的表观模式被系统地低估了;凸面看起来比凹面具有更大的深度,大相机角度比小相机角度产生更多的感知深度,并且对于给定表面图像,小视角下的表观深度与宽度之比大于大视角下的。由于这些结果与所有现有的计算模型都不兼容,因此提出了一种基于缩放对比度的新模型,该模型可以成功解释数据的所有方面。