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Geometric segmentation of perspective images based on symmetry groups

By Allen Y. Yang, Shankar Rao, Kun Huang, Wei Hong and Yi Ma

Abstract

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

Topics: patterns are abundant. Right, Ames room illusion
Year: 2003
DOI identifier: 10.1109/iccv.2003.1238634
OAI identifier: oai:CiteSeerX.psu:10.1.1.329.5660
Provided by: CiteSeerX
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