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Symmetry Facilitates 3D Shape Discrimination Across Changes in Viewpoint

机译:对称性有助于在视点变化中进行3D形状识别

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摘要

Perceiving 3D shape constancy across changes in viewpoint is a challenging problem. We tested whether the presence of symmetry can facilitate shape discrimination for smoothly curved, solid 3D objects. Symmetric and asymmetric random shapes were generated to have the same angular power spectra, expressed as spherical harmonics. Objects were presented in three viewing conditions: shading-only, stereo-only, and combined shading and stereo. Shaded objects were illuminated by a diffused point light source, and a mirror haploscope was used to present binocular images. Objects were presented sequentially and observers judged whether the two shapes were same or different. The test objects were either the same orientation or differed by a rotation in depth of ±15°, ±30°, or ±60° relative to the standard object. In all conditions, we found that shape discrimination performance decreased with rotation in depth. Overall, shape discrimination for symmetric objects was better than for asymmetric objects. The presence of stereo information improved performance for both symmetric and asymmetric objects. The results suggest that structural constraints like symmetry are important for viewpoint invariant shape perception, and that stereo information improves shape perception even for structured 3D objects.
机译:跨视点变化感知3D形状恒定性是一个具有挑战性的问题。我们测试了对称性的存在是否可以促进平滑弯曲的实体3D对象的形状识别。生成对称和不对称的随机形状,以具有相同的角功率谱,表示为球谐函数。在三种查看条件下显示对象:纯阴影,纯立体以及混合阴影和立体。阴影物体由扩散点光源照明,镜式镜检镜用于呈现双目图像。依次介绍对象,观察者判断两个形状是否相同。相对于标准对象,测试对象的方向相同或相差深度为±15°,±30°或±60°。在所有条件下,我们发现形状识别性能随深度旋转而降低。总体而言,对称对象的形状辨别能力优于非对称对象。立体声信息的存在提高了对称和非对称对象的性能。结果表明,对称性等结构约束对于视点不变的形状感知非常重要,并且立体信息甚至对于结构化3D对象也可以改善形状感知。

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