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ICCV
2003
IEEE

Geometric Segmentation of Perspective Images Based on Symmetry Groups

15 years 10 months ago
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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