The main aim of 3D Object recognition is to recognize objects under translation
and rotation. Geometric Hashing is one of the methods which represents a
rotation and translation invariant approach and provides indexing of structural
features of the objects in an efficient way. In this thesis, Geometric Hashing is
used to store the geometric relationship between discriminative surface
properties which are based on surface curvature. In this thesis surface is
represented by shape index and splash where shape index defines particular
shaped surfaces and splash introduces topological information. The method is
tested on 3D object databases and compared with other methods in the
literature.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610434/index.pdf |
| Date | 01 February 2009 |
| Creators | Hozatli, Aykut |
| Contributors | Ulusoy, Ilkay |
| 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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