Statistical Analysis of the Global Geodesic Function for 3D Object Classification

Aouada, Djamila; Feng, Shuo; Krim, Hamid

doi:10.1109/ICASSP.2007.365990

Reference : Statistical Analysis of the Global Geodesic Function for 3D Object Classification


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/8044

Title :	Statistical Analysis of the Global Geodesic Function for 3D Object Classification
Language :	English
Author, co-author :	Aouada, Djamila [Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA]
	Feng, Shuo [Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA]
	Krim, Hamid [Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA]
Publication date :	2007
Main document title :	IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007
Pages :	645- 648
Peer reviewed :	Yes
Audience :	International
ISBN :	1-4244-0727-3
Event name :	ICASSP 2007
Event date :	from 15-04-2007 to 20-04-2007
Event place (city) :	Honolulu
Event country :	HI
Abstract :	[en] This paper presents a novel classification strategy for 3D objects. Our technique is based on using a global geodesic function to intrinsically describe the surface of an object. The choice of the global geodesic function ensures the invariance of the classification procedure to scaling and all isometric transformations. Using the Jensen-Shannon divergence, feature parameters are extracted from the probability distribution functions of the global geodesic function for each one of the classes. These parameters are used in the decision of a class membership of an object. This approach demonstrates low computational cost, efficiency, and robustness to resolution over many different data sets.
Permalink :	http://hdl.handle.net/10993/8044
DOI :	10.1109/ICASSP.2007.365990
Commentary :	IEEE International Conference on Acoustics, Speech and Signal Processing, 2007.

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