This study presents a new shape representation scheme based on disconnected symmetry axes
along with a matching framework to address the problem of generic shape recognition. The main idea
is to define the relative spatial arrangement of local symmetry axes in a shape centered coordinate
frame. The resulting descriptions are invariant to scale, rotation, small changes in viewpoint and
articulations. Symmetry points are extracted from a surface whose level curves roughly mimic the
motion by curvature. By increasing the amount of smoothing on the evolving curve, only those
symmetry axes that correspond to the most prominent parts of a shape are extracted. The
representation does not suffer from the common instability problems of the traditional connected
skeletons. It captures the perceptual properties of shapes well. Therefore, finding the similarities and
the differences among shapes becomes easier. The matching process is able to find the correct
correspondence of parts under various visual transformations. Highly successful classification results
are obtained on a moderate sized 2D shape database.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12606071/index.pdf |
| Date | 01 June 2005 |
| Creators | Aslan, Cagri |
| Contributors | Tari, Sibel |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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