DocumentCode
2306103
Title
A New Computational Framework for 3D Shape Descriptors
Author
Akgul, Ceyhun Burak ; Sankur, Bülent ; Yemez, Yücel ; Schmitt, Francis
Author_Institution
Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ.
fYear
2006
fDate
17-19 April 2006
Firstpage
1
Lastpage
4
Abstract
In this work, we propose a computational framework for histogram-based 3D shape descriptors. Our method is based on evaluating the density of a shape function defined over the surface of 3D model using Gaussian modeling. The proposed approach has a better shape description ability compared to other competitor histogram-based approaches. We illustrate this assertion in a content-based 3D model retrieval application
Keywords
Gaussian processes; content-based retrieval; telecommunication computing; Gaussian modeling; computational framework; content-based 3D model retrieval; histogram-based 3D shape descriptor; Content based retrieval; Gaussian processes; Histograms; Shape; Solid modeling; Telecommunication computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location
Antalya
Print_ISBN
1-4244-0238-7
Type
conf
DOI
10.1109/SIU.2006.1659825
Filename
1659825
Link To Document