中文模板 软件学报.doc

ISSN 1000-9825, CODEN RUXUEW E-mail: jos@ Journal of Software, Vol.17, No.3, March 2006, pp.525?534 DOI: 10.1360/jos170525 Tel/Fax: +86-10? 2006 by Journal of Software. All rights reserved. 基于3D人脸重建的光照、姿态不变人脸识别( 柴秀娟1+, 山世光2, 卿来云2, 陈熙霖2, 高 文1,2 1(哈尔滨工业大学 计算机学院,黑龙江 哈尔滨 150001) 2(中国科学院 计算技术研究所 ICT-ISVISION面像识别联合实验室,北京 100080) Pose and Illumination Invariant Face Recognition Based on 3D Face Reconstruction CHAI Xiu-Juan1+, SHAN Shi-Guang2, QING Lai-Yun2, CHEN Xi-Lin2, GAO Wen1,2 1(Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China) 2(ICT-ISVISION Joint RD Laboratory for Face Recognition, Institute of Computer Technology, The Chinese Academy of Sciences, Beijing 100080, China) + Corresponding author: Phn: +86-10ext 314, Fax: +86-10 E-mail: xjchai@, / Chai XJ, Shan SG, Qing LY, Chen XL, Gao W. Pose and illumination invariant face recognition based on 3D face reconstruction. Journal of Software, 2006,17(3):525?534. /1000-9825/17/525.htm Abstract: Pose and illumination changings from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting conditions simultaneously is proposed, which calibrates the pose and lighting to a predefined reference condition through an illumination invariant 3D face reconstruction. First, some located facial landmarks and a priori statistical deformable 3D model are used to recover an elaborate 3D shape. Based on the recovered 3D shape, the “texture image” calibrated to a standard illumination is generated by spherical harmonics ratio image and finally the illumination independent 3D face is reconstructed completely. The proposed method combines the strength of statistical deformable model to describe the shape information and the compact representations of the illumination in spherical frequency space, and handles both the pose and illumination variation simultaneously.