DocumentCode :
3450535
Title :
Face recognition from 3D data using Iterative Closest Point algorithm and Gaussian mixture models
Author :
Cook, Jamie ; Chandran, Vinod ; Sridharan, Sridha ; Fookes, Clinton
Author_Institution :
Image & Video Res. Lab, Queensland Univ. of Technol., Brisbane, Qld., Australia
fYear :
2004
fDate :
6-9 Sept. 2004
Firstpage :
502
Lastpage :
509
Abstract :
An approach to face verification from 3D data is presented. The method uses 3D registration techniques designed to work with resolution levels typical of the irregular point cloud representations provided by structured light scanning. Preprocessing using a-priori information of the human face and the Iterative Closest Point algorithm are employed to establish correspondence between test and target and to compensate for the nonrigid nature of the surfaces. Statistical modelling in the form of Gaussian mixture models is used to parameterise the distribution of errors in facial surfaces after registration and is employed to differentiate between intra- and extra-personal comparison of range images. An equal error rate of 2.67% was achieved on the 30 subject manual subset of the 3d_rma database.
Keywords :
Gaussian distribution; error analysis; face recognition; image registration; image representation; image resolution; solid modelling; 3D data; 3D registration techniques; Gaussian mixture models; Iterative Closest Point algorithm; error distribution; face recognition; face verification; irregular point cloud representation; statistical modelling; structured light scanning; Face recognition; Humans; Iterative algorithms; Iterative closest point algorithm; Laser modes; Laser sintering; Shape; Support vector machine classification; Support vector machines; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN :
0-7695-2223-8
Type :
conf
DOI :
10.1109/TDPVT.2004.1335279
Filename :
1335279
Link To Document :
بازگشت