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| A Linear Reconstruction Method for Face Images under Normal Illumination |
| XIONG Peng-Fei1,2, LIU Chang-Ping1, HUANG Lei1 |
1.Character Recognition Engineering Center,Institute of Automation,Chinese Academy of Sciences,
Beijing 100190
2.Graduate University of Chinese Academy of Sciences,Beijing 100049 |
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Abstract Based on the stable relationships between the face representations under the certain and the normal illumination for different individuals, an approach to reconstruct face images under normal illumination is proposed. Firstly, to eliminate the impact of facial surfaces, an image deformation method in 3D domain is applied to achieve pixel-level alignment. Then, an illumination classification method based on image blocking is proposed to classify the images with the same lighting gradation. Finally, various linear reconstruction models of different illumination categories based on facial subspaces are trained from the preprocessing image pairs for face image reconstruction. The method effectively avoids the loss of the facial texture in image preprocessing and the distortion in image subspace. The experimental results of the proposed method on Extended Yale B demonstrate the performance in image representation and face recognition and verify the effectiveness in face alignment and illumination classification.
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Received: 10 March 2011
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[1] Barrow H G,Tenenbaum J M.Recovering Intrinsic Scene Characteristics from Images.Computer Vision System,1978,1(3): 3-26
[2] Hallinan P W.A Low-Dimensional Representation of Human Faces for Arbitrary Lighting Conditions // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Seattle,USA,1994: 995-999
[3] Chen W,Er M J,Wu S.Illumination Compensation and Normalization for Robust Face Recognition Using Discrete Cosine Transform in Logarithm Domain.IEEE Trans on Systems,Man and Cybernetics,2006,36(2): 458-466
[4] Han Hu,Shan Shiguang,Chen Xilin,et al.Illumination Transfer Using Homomorphic Wavelet Filtering and Its Application to Lighting-Insensitive Face Recognition // Proc of the IEEE International Conference on Automatic Face and Gesture Recognition.Amsterdam,Netherlands,2008: 17-19
[5] Chen T,Yin W T,Zhou X S,et al.Total Variation Models for Variable Lighting Face Recognition.IEEE Trans on Pattern Analysis and Machine Intelligence,2006,28(9): 1519-1524
[6] Wang Haitao,Li S Z,Wang Yangsheng.Face Recognition under Varying Lighting Conditions Using Self Quotient Image // Proc of the IEEE International Conference on Automatic Face and Gesture Recognition.Seoul,Korea,2004: 819-824
[7] Gross R,Brajovie V.An Image Preprocessing Algorithm for Illumination Invariant Face Recognition // Proc of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication.Guildford,UK,2003: 10-18
[8] Xie Xiaohua,Zheng Weishi,Lai Jianhuang,et al.Face Illumination Normalization on Large and Small Scale Features // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.San Francisco,USA,2008: 8-16
[9] Shashua A,Tammy R.The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations.IEEE Trans on Pattern Analysis and Machine Intelligence,2001,23(2): 129-139
[10] Lee S W,Moon S H,Lee S W.Face Recognition under Arbitrary Illumination Using Illuminated Exemplars.Pattern Recognition,2007,40(5): 1605-1620
[11] Nishino K,Belhumeur P N,Nayar S K.Using Eye Reflections for Face Recognition under Varying Illumination // Proc of the 10th International Conference on Computer Vision.Beijing,China,2005: 519-526
[12] Wright J,Yang A Y,Ganesh A,et al.Robust Face Recognition via Sparse Representation.IEEE Trans on Pattern Analysis and Machine Intelligence,2009,31(2): 210-227
[13] Georghiades A S,Belhumeur P N,Kriegman D J.From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose.IEEE Trans on Pattern Analysis and Machine Intelligence,2001,23(6): 643-660
[14] Basri R,Jacobs D W.Lambertian Reflectance and Linear Subspaces.IEEE Trans on Pattern Analysis and Machine Intelligence,2003,25(2): 218-233
[15] Han Hu,Shan Shiguang,Qing Laiyun,et al.Lighting Aware Preprocessing for Face Recognition across Varying Illumination // Proc of the 11th European Conference on Computer Vision.Heraklion,Greece,2010: 308-321
[16] Wang Yang,Zhang Lei,Liu Zicheng,et al.Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions.IEEE Trans on Pattern Analysis and Machine Intelligence,2009,31(11): 1968-1984
[17] Nielson G M.Scattered Data Modeling.Computer Graphics and Applications,1993,13(1): 60-70
[18] Xiong Pengfei,Huang Lei,Liu Changping.Initialization and Pose Alignment in Active Shape Model // Proc of the 20th International Conference on Pattern Recognition.Istanbul,Turkey,2010: 3971-3974
[19] Levenberg K.A Method for the Solution of Certain Non-Linear Problems in Least Squares.Quarterly of Applied Mathematics,1944,2(2): 164-168
[20] Ferwerda E J,Stark M,Shirley P,et al.Photographic Tone Reproduction for Digital Image // Proc of the Annual Conference on Computer Graphics and Interactive Techniques.San Antonio,USA,2002: 267-276
[21] Wiskott L,Fellous J,Kruger N,et al.Face Recognition by Elastic Bunch Graph Matching.IEEE Trans on Pattern Analysis and Machine Intelligence,1997,19(7): 775-779
[22] Belhumur P N,Hespanha J P,Kriegman D J.Eigenfaces vs.Fisherfaces: Recognition Using Class Specific Linear Projection.IEEE Trans on Pattern Analysis and Machine Intelligence,1997,19(7): 711-720 |
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2012, Vol. 25 
