DocumentCode
2932469
Title
3D Gaussian descriptor for 3D shape retrieval
Author
Chaouch, Mohamed ; Verroust-Blondet, Anne
Author_Institution
INRIA Paris - Rocquencourt Domaine de Voluceau, Le Chesnay, France
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
834
Lastpage
837
Abstract
This paper presents a new approach to 3D shape comparison and retrieval based on the computation of Gaussian transforms of the surface model on a set of points regularly distributed inside the model´s bounding box. A study of the properties of the Gaussian term leads us to an efficient computation of the description. This method is evaluated on the Princeton Shape Benchmark database.
Keywords
Gaussian processes; image retrieval; transforms; visual databases; 3D Gaussian descriptor; 3D shape retrieval; Gaussian transforms; Princeton shape benchmark database; model bounding box; surface model; Chaos; Content based retrieval; Distributed computing; Euclidean distance; Histograms; Information retrieval; Internet; Partitioning algorithms; Shape measurement; Spatial databases; 3D shape retrieval; Gaussian transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location
New York, NY
ISSN
1945-7871
Print_ISBN
978-1-4244-4290-4
Electronic_ISBN
1945-7871
Type
conf
DOI
10.1109/ICME.2009.5202624
Filename
5202624
Link To Document