Title :
3D object recognition by geometric hashing
Author :
Eskizara, Ömer ; Akagündüz, Erdem ; Ulusoy, Ilkay
Author_Institution :
Elektr. ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
Abstract :
Using transform invariant 3D features 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.
Keywords :
computational geometry; file organisation; object recognition; transforms; 3D object recognition; 3D range image database; geometric hashing; invariant 3D feature transform; mean-Gaussian-curvature value; Decision support systems; Object recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-4435-9
Electronic_ISBN :
978-1-4244-4436-6
DOI :
10.1109/SIU.2009.5136550
