DocumentCode :
2651938
Title :
Computing the 3D face recognition based on pseudo 2D Hidden Markov Models using geodesic distances
Author :
Castellano, M. ; Mastronardi, G. ; Daleno, D. ; Cariello, L. ; Decataldo, G.
Author_Institution :
Dept. of Electr. & Electron., Polytech. of Bari, Bari
fYear :
2008
fDate :
25-28 June 2008
Firstpage :
335
Lastpage :
338
Abstract :
Face recognition is a very challenging issue and has attracted much attention over past decades. First a 3D mesh model of face is manipulated to calculate the geodesic distances on triangulated surface by the dasiafast marching on triangulated domainspsila (FMTD) numerical algorithm. Then these are processed by multidimensional scaling in order to embed the surface into a low dimensional space. Next, by using the so constructed canonical forms and a 3-6-6-6-3 structure of pseudo 2-D hidden Markov models, an interesting face recognition is carried out.
Keywords :
computational geometry; face recognition; hidden Markov models; solid modelling; 3D face recognition; 3D mesh model; fast marching on triangulated domains numerical algorithm; geodesic distances; pseudo 2D hidden Markov models; triangulated surface; Biometrics; Costs; Face recognition; Geometry; Geophysics computing; Hidden Markov models; Multidimensional systems; Robustness; Security; Two dimensional displays; 3D Face Recognition; Fast Marching on Triangulated Domains; Geodesic Distances; Multidimensional Scaling; Pseudo 2-D Hidden Markov Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on
Conference_Location :
Bratislava
Print_ISBN :
978-80-227-2856-0
Electronic_ISBN :
978-80-227-2880-5
Type :
conf
DOI :
10.1109/IWSSIP.2008.4604435
Filename :
4604435
Link To Document :
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