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Geometric Segmentation of Perspective Images Based on Symmetry Groups

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Geometric Segmentation of Perspective Images Based on Symmetry Groups
Symmetry is an effective geometric cue to facilitate conventional segmentation techniques on images of man-made environment. Based on three fundamental principles that summarize the relations between symmetry and perspective imaging, namely, structure from symmetry, symmetry hypothesis testing, and global symmetry testing, we develop a prototype system which is able to automatically segment symmetric objects in space from single 2-D perspective images. The result of such a segmentation is a hierarchy of geometric primitives, called symmetry cells and complexes, whose 3-D structure and pose are fully recovered. Such a geometrically meaningful segmentation may greatly facilitate applications such as feature matching and robot navigation.
Allen Y. Yang, Shankar Rao, Kun Huang, Wei Hong, Y
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2003
Where ICCV
Authors Allen Y. Yang, Shankar Rao, Kun Huang, Wei Hong, Yi Ma
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