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从正射影像和透视影像对自然物体形状进行单目重建。

Monocular reconstruction of shapes of natural objects from orthographic and perspective images.

作者信息

Beers Mark, Pizlo Zygmunt

机构信息

Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, United States.

出版信息

Front Neurosci. 2024 Apr 15;18:1265966. doi: 10.3389/fnins.2024.1265966. eCollection 2024.

Abstract

Human subjects were tested in perception of shapes of 3D objects. The subjects reconstructed 3D shapes by viewing orthographic and perspective images. Perception of natural shapes was very close to veridical and was clearly better than perception of random symmetrical polyhedra. Viewing perspective images led to only slightly better performance than viewing orthographic images. In order to account for subjects' performance, we elaborated the previous computational models of 3D shape reconstruction. The previous models used as constraints mirror-symmetry and 3D compactness. The critical additional constraint was the use of a secondary mirror-symmetry that exists in most natural shapes. It is known that two planes of mirror symmetry are sufficient for a unique and veridical shape reconstruction. We also generalized the model so that it applies to both orthographic and perspective images. The results of our experiment suggest that the human visual system uses two planes of symmetry in addition to two forms of 3D compactness. Performance of the new model was highly correlated with subjects' performance with both orthographic and perspective images, which supports the claim that the most important 3D shape constraints that are used by the human visual system have been identified.

摘要

对人类受试者进行了三维物体形状感知测试。受试者通过观察正视图和透视图来重建三维形状。对自然形状的感知非常接近真实情况,明显优于对随机对称多面体的感知。观察透视图的表现仅比观察正视图略好。为了解释受试者的表现,我们完善了之前的三维形状重建计算模型。之前的模型使用镜像对称和三维紧致性作为约束条件。关键的额外约束是使用大多数自然形状中存在的二次镜像对称。已知两个镜像对称平面足以进行唯一且真实的形状重建。我们还对模型进行了推广,使其适用于正视图和透视图。我们的实验结果表明,人类视觉系统除了使用两种三维紧致性形式外,还使用两个对称平面。新模型的表现与受试者观察正视图和透视图的表现高度相关,这支持了这样一种说法,即人类视觉系统使用的最重要的三维形状约束已被识别出来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/11057234/92cbaaf153df/fnins-18-1265966-g001.jpg

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