By Topic

Robust face matching under different lighting conditions

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.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chyuan-Huei Thomas Yang ; Dept. of Comput. Sci., Nat. Tsing-Hua Univ., Taiwan ; Shang-Hong Lai ; Long-Wen Chang

We focus on the problem of comparing face images under different lighting conditions. A new and robust face image matching algorithm is developed based on an accumulated consistency measure of corresponding normalized gradients at face contour locations between two face images. The proposed new image matching approach is motivated by the characteristics of high image gradient along the face contour. To amend the matching problem due to lighting changes between face images, we define a new consistency measure to be the inner product between two normalized gradient vectors at the corresponding locations in two images. The normalized gradient is obtained by dividing the computed gradient vector by a maximal gradient magnitude in a local neighborhood centered at the pixel of computation. Then we compute the summation of the individual consistency measure from normalized gradients at all the contour pixels to be the robust matching measure between two face images. To alleviate the problem due to shadow and intensity saturation, we introduce an intensity weighting function for each individual consistency measure to form a weighted consistency measure. We test the proposed image matching algorithm on the Yale Face Database, which contains 15 persons captured under three very different lighting conditions. The proposed method can achieve satisfactory recognition results in the experiments.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:2 )

Date of Conference: