Title
Efficient 3D reconstruction for face recognition
Abstract
Face recognition with variant pose, illumination and expression (PIE) is a challenging problem. In this paper, we propose an analysis-by-synthesis framework for face recognition with variant PIE. First, an efficient two-dimensional (2D)-to-three-dimensional (3D) integrated face reconstruction approach is introduced to reconstruct a personalized 3D face model from a single frontal face image with neutral expression and normal illumination. Then, realistic virtual faces with different PIE are synthesized based on the personalized 3D face to characterize the face subspace. Finally, face recognition is conducted based on these representative virtual faces. Compared with other related work, this framework has following advantages: (1) only one single frontal face is required for face recognition, which avoids the burdensome enrollment work; (2) the synthesized face samples provide the capability to conduct recognition under difficult conditions like complex PIE; and (3) compared with other 3D reconstruction approaches, our proposed 2D-to-3D integrated face reconstruction approach is fully automatic and more efficient. The extensive experimental results show that the synthesized virtual faces significantly improve the accuracy of face recognition with changing PIE.
Year
DOI
Venue
2005
10.1016/j.patcog.2004.11.004
Pattern Recognition
Keywords
Field
DocType
complex pie,synthesized face sample,realistic virtual face,face recognition,integrated face reconstruction approach,face subspace,multi-view,analysis by synthesis,single frontal face,illumination,single frontal face image,3d face reconstruction,representative virtual face,expression,face model,pattern recognition,3d reconstruction
Facial recognition system,Computer vision,Speech coding,Three-dimensional face recognition,Subspace topology,Pattern recognition,Artificial intelligence,Face detection,Mathematics,3D reconstruction
Journal
Volume
Issue
ISSN
38
6
Pattern Recognition
Citations 
PageRank 
References 
102
3.09
22
Authors
6
Search Limit
100102
Name
Order
Citations
PageRank
Dalong Jiang120310.26
Yuxiao Hu22209103.06
Shuicheng Yan31938.56
Lei Zhang42533164.29
Hong-Jiang ZHANG5173781393.22
Wen Gao611374741.77