By Topic

3D face modeling using image warping in pose-invariant face recognition

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

3 Author(s)
Xiaozheng Zhang ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore ; Yongsheng Gao ; Leung, M.K.H.

One of the key remaining problems in face recognition is that of handling the variability in appearance due to changes in pose. One strategy is to synthesize virtual face views from real views. In this paper, a new 3D face shape modeling algorithm - orthogonal reverse projection model (ORPM) is presented. Our method makes only use of two orthogonal real view of a face, i.e., the frontal and profile views. To obtain the 3D shape information of the face, a modified feature-based 2D image warping technique is employed to establish point correspondence between the frontal and profile views. Then the 3D face shape model is generated by orthogonal reverse projection using the corresponding point pairs. The virtual views can be synthesized by simply rotating the 3D face model. The modeling results suggest the validity of the ORPM algorithm for 3D face modeling and 2D face image synthesizing under different poses.

Published in:

Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on  (Volume:1 )

Date of Conference:

2-5 Dec. 2002