On Symmetry, Perspectivity, and Level-Set-Based Segmentation
We introduce a novel variational method for the extraction of objects with either bilateral or rotational symmetry in the presence of perspective distortion. Information on the symmetry axis of the object and the distorting transformation is obtained as a by-product of the segmentation process. The...
Main Authors: | Riklin-Raviv, Tammy, Sochen, Nir, Kiryati, Nahum |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
|
Online Access: | http://hdl.handle.net/1721.1/60292 |
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