Title:
カーネルフィッシャーフェイスを使用した顔認識
Document Type and Number:
Japanese Patent JP4589625
Kind Code:
B2
Abstract:
A face recognition system and method project an input face image and a set of reference face images from an input space to a high dimensional feature space in order to obtain more representative features of the face images. The Kernel Fisherfaces of the input face image and the reference face images are calculated, and are used to project the input face image and the reference face images to a face image space lower in dimension than the input space and the high dimensional feature space. The input face image and the reference face images are represented as points in the face image space, and the distance between the input face point and each of the reference image points are used to determine whether or not the input face image resembles a particular face image of the reference face images.
Inventors:
Yang, Min Xuan
Application Number:
JP2003550152A
Publication Date:
December 01, 2010
Filing Date:
December 03, 2002
Export Citation:
Assignee:
Honda motor industry stock company
International Classes:
G06T7/00; G06K9/00
Other References:
BELHUMEUR P.N. et al.,Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE trans. Pattern analysis and machine intelligence, July 1997, Vol. 19, No.7, pages 711 to 720
MIKA S. et al., Fisher Discriminant Analysis with Kernels, Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop, Aug. 1999, pages 41-48
MIKA S. et al., Fisher Discriminant Analysis with Kernels, Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop, Aug. 1999, pages 41-48
Attorney, Agent or Firm:
Yoshihito Iizuka