Title :
3D Face Recognition with Region Committee Voting
Author :
Faltemier, Timothy ; Bowyer, Kevin ; Flynn, Patrick
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN
Abstract :
In this paper, we introduce a new system for face recognition by matching 3D face shape. This algorithm selects multiple regions of the face for matching in an attempt to reduce the effects caused by variations in expression between gallery and probe images. Experimental results are reported using the Face Recognition Grand Challenge v2.0 data set. Our results demonstrate improved performance relative to those of four previous papers using this same data set.
Keywords :
face recognition; image matching; 3D face recognition; 3D face shape matching; Face Recognition Grand Challenge v2.0 data set; region committee voting; Computer science; Face recognition; Image coding; Image recognition; Iterative closest point algorithm; Nose; Probes; Shape; Testing; Voting;
Conference_Titel :
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-7695-2825-2
DOI :
10.1109/3DPVT.2006.3
