By Topic

Estimating pose and illumination direction for frontal face synthesis

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
$31 $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

4 Author(s)
Xinyu Huang ; Kentucky, Univ., Lexington, KY ; Xianwang Wang ; Jizhou Gao ; Ruigang Yang

Face pose and illumination estimation is an important pre-processing step in many face analysis problems. In this paper, we present a new method to estimate the face pose and illumination direction from one single image. The basic idea is to compare the reconstruction residuals between the input image and a small set of reference images under different poses and illumination directions. Based on the estimated pose and illumination direction, we develop a face synthesis framework to rectify the input image to the frontal view under standard illumination. Experiments show that our estimation method is both fast (less than one second per frame) and accurate (even less than three degrees) and our face synthesis method can generate visually plausible results, in particular for challenging inputs with with large pose changes and poor lighting conditions. The synthesized frontal face views increase the face recognition rate significantly from 1:5% to 62:1%.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008