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
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;
Conference_Titel :
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-4904-8
Electronic_ISBN :
2161-2021
DOI :
10.1109/3DTV.2012.6365464