Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Using support vector machines for face authentication based on elastic graph matching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
Tefas, A. ; Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece ; Kotropoulos, C. ; Pitas, I.

A novel method for enhancing the performance of elastic graph matching in face authentication is proposed. Our objective is to weigh the local matching errors at the nodes of an elastic graph according to their discriminatory power. We propose a novel approach to discriminant analysis that re-formulates Fisher's linear discriminant ratio to a quadratic optimization problem subject to inequality constraints by combining statistical pattern recognition and support vector machines. The method is applied to frontal face authentication on the M2VTS database

Published in:

Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:1 )

Date of Conference:

2000