Sciweavers

Share
ICPR
2008
IEEE

3D face recognition with the average-half-face

10 years 10 months ago
3D face recognition with the average-half-face
We present a promising analysis on using the pattern of symmetry in the face to increase the accuracy of three-dimensional face recognition. We introduce the concept of the ‘average-half-face’, motivated by the Symmetry Preserving Singular Value Decomposition. We compare face recognition results using the eigenfaces face recognition algorithm with average-half-face data and full face data in several experiments on a 3D face data set of 1126 images. We show that the results from the eigenfaces face recognition system using the average-half-face is more accurate than using the full face, only the left or right half of the face or a random choice of half of the face.
Josh Harguess, Shalini Gupta, Jake K. Aggarwal
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Josh Harguess, Shalini Gupta, Jake K. Aggarwal
Comments (0)
books