Paper
28 February 2007 Symmetry detection in 3D scenes
Author Affiliations +
Proceedings Volume 6498, Computational Imaging V; 64980Y (2007) https://doi.org/10.1117/12.715160
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tadamasa Sawada and Zygmunt Pizlo "Symmetry detection in 3D scenes", Proc. SPIE 6498, Computational Imaging V, 64980Y (28 February 2007); https://doi.org/10.1117/12.715160
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KEYWORDS
Visual system

Image segmentation

Human subjects

3D image processing

3D modeling

3D vision

Performance modeling

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