DocumentCode :
2393039
Title :
3D mesh video retrieval: A survey
Author :
Danelakis, A. ; Theoharis, T. ; Pratikakis, Ioannis
Author_Institution :
Dept. of Inf. & Telecommun., Nat. & Kapodistrian Univ. of Athens, Athens, Greece
fYear :
2012
fDate :
15-17 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This survey addresses methodologies for 3D mesh video retrieval including 3D mesh video action/motion retrieval and 3D mesh video facial expression recognition. They all involve retrieval procedures and, consequently, classification methods in order to identify similar actions/motions and facial expressions. The approaches are primarily categorized according to the 3D model representation that they use and their feature extraction and classification methods. Comparative data for the most promising methods is given, mainly on publicly available datasets.
Keywords :
face recognition; feature extraction; image classification; image motion analysis; image representation; mesh generation; video retrieval; 3D mesh video motion retrieval; 3D mesh video retrieval; 3D model representation; classification method; facial expression recognition; feature extraction; Face; Face recognition; Hidden Markov models; Histograms; Shape; Solid modeling; Vectors; 3D mesh video; retrieval; survey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012
Conference_Location :
Zurich
ISSN :
2161-2021
Print_ISBN :
978-1-4673-4904-8
Electronic_ISBN :
2161-2021
Type :
conf
DOI :
10.1109/3DTV.2012.6365464
Filename :
6365464
Link To Document :
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