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
fDate :
June 28 2009-July 3 2009
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;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202624
