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首页> 外文会议>Computational Imaging V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6498; Electronic Imaging Science and Technology >Symmetry detection in 3D scenes
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Symmetry detection in 3D scenes

机译：3D场景中的对称检测

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摘要

Retinal image of a symmetric object is itself symmetric only for a small set of viewing directions. Interestingly, human subjects have little difficulty in determining whether a given retinal image was produced by a symmetric object, regardless of the viewing direction. We tested perception of planar (2D) symmetric figures (dotted patterns and polygons) when the figures were slanted in depth. We found that symmetry could be detected reliably with polygons, but not with dotted patterns. Next, we tested the role image features representing the symmetry of the pattern itself (orientation of projected symmetry axis and symmetry lines) vs. those representing the 3D viewing direction (orientation of the axis of rotation). We found that symmetry detection is improved when the projected symmetry axis or lines are known to the subject, but not when the axis of rotation is known. Finally, we showed that performance with orthographic images is higher than that with perspective images. A computational model, which measures the asymmetry of the presented polygon based on its single orthographic or perspective image, is presented. Performance of the model is similar to the performance of human subjects.
机译：对称对象的视网膜图像本身仅对一小组观看方向对称。有趣的是，无论观察方向如何，人类受试者在确定给定的视网膜图像是否由对称物体产生方面几乎没有困难。当图形在深度上倾斜时，我们测试了对平面（2D）对称图形（点状图形和多边形）的感知。我们发现可以用多边形可靠地检测到对称性，而不能用虚线图案检测到。接下来，我们测试了代表图像本身对称性的角色图像特征（投影的对称轴和对称线的方向）与代表3D观看方向的角色图像特征（旋转轴的方向）。我们发现，当对象知道投影的对称轴或对称线时，对称检测会改善，但旋转轴已知时，对称检测不会得到改善。最后，我们证明了正交图像的性能要高于透视图像的性能。提出了一种计算模型，该模型基于单个多边形的正交或透视图图像来测量该多边形的不对称性。该模型的性能类似于人类受试者的性能。

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