# 3D Object Recognition by Geometric Hashing

2009-01-01
Using transform invariant 3D fatures obtained from a database of 3D range images, geometric hashing is applied for the purpose of 3D object recognition. Mean (H) and Gaussian (K) curvature values within a scale-space of the surface is used Since H and K values are used and a scale-space of the surface is constructed the method is independent of transformation and resolution. The method is tested on the Stuttgart 3D range image database [1].
IEEE 17th Signal Processing and Communications Applications Conference

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Citation Formats
O. Eskizara, E. Akagündüz, and İ. Ulusoy, “3D Object Recognition by Geometric Hashing,” presented at the IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Türkiye, 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/94340.