School of Psychology, HSE University, Moscow, Russia.
School of Psychology, HSE University, Moscow, Russia; Akian College of Science and Engineering, American University of Armenia, Yerevan, Armenia; Department of Psychology, Russian-Armenian (Slavonic) University, Yerevan, Armenia; European University of Armenia, Yerevan, Armenia.
Vision Res. 2024 Aug;221:108433. doi: 10.1016/j.visres.2024.108433. Epub 2024 May 20.
Rectangularity and perpendicularity of contours are important properties of 3D shape for the visual system and the visual system can use them asa prioriconstraints for perceivingshape veridically. The presentarticle provides a comprehensive review ofpriorstudiesofthe perception of rectangularity and perpendicularity anditdiscussestheir effects on3D shape perception from both theoretical and empiricalapproaches. It has been shown that the visual system is biased to perceive a rectangular 3D shape from a 2D image. We thought that this bias might be attributable to the likelihood of a rectangular interpretation but this hypothesis is not supported by the results of our psychophysical experiment. Note that the perception ofa rectangular shape cannot be explained solely on the basis of geometry. A rectangular shape is perceived from an image that is inconsistent with a rectangular interpretation. To address thisissue, we developed a computational model that can recover a rectangular shape from an image of a parallelopiped. The model allows the recovered shape to be slightly inconsistent so that the recovered shape satisfies the a priori constraints of maximum compactness and minimal surface area. This model captures someof thephenomenaassociated withthe perception of the rectangular shape that were reported inpriorstudies. This finding suggests that rectangularity works for shape perception by incorporatingitwith someadditionalconstraints.
轮廓的矩形度和垂直度是视觉系统对三维形状的重要属性，视觉系统可以将它们作为感知形状真实性的先验约束。本文对矩形度和垂直度感知的先前研究进行了全面回顾，并从理论和经验两个方面讨论了它们对三维形状感知的影响。已经表明，视觉系统倾向于从二维图像中感知矩形的三维形状。我们认为这种偏差可能归因于矩形解释的可能性，但我们的心理物理实验结果并不支持这一假设。请注意，仅凭几何形状无法解释对矩形形状的感知。从与矩形解释不一致的图像中感知到矩形形状。为了解决这个问题，我们开发了一个可以从平行六面体的图像中恢复矩形形状的计算模型。该模型允许恢复的形状略有不一致，以便恢复的形状满足最大紧凑性和最小表面积的先验约束。该模型捕获了一些先前研究中报道的与矩形形状感知相关的现象。这一发现表明，通过将矩形度与一些附加约束结合起来，它可以用于形状感知。
