Pose-Invariant Face Recognition Using Markov Random Fields
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[1] Rama Chellappa,et al. What Is the Range of Surface Reconstructions from a Gradient Field? , 2006, ECCV.
[2] Rama Chellappa,et al. Automatic head pose estimation using randomly projected dense SIFT descriptors , 2012, 2012 19th IEEE International Conference on Image Processing.
[3] Carlos D. Castillo,et al. Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Different Scenes , 2008, ECCV.
[5] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[6] Wen Gao,et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[7] Rama Chellappa,et al. Discriminant Analysis for Recognition of Human Face Images (Invited Paper) , 1997, AVBPA.
[8] Gregory D. Hager,et al. Efficient Region Tracking With Parametric Models of Geometry and Illumination , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Rainer Stiefelhagen,et al. Pose Normalization for Local Appearance-Based Face Recognition , 2009, ICB.
[10] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[11] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[12] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[13] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[14] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[15] Tsuhan Chen,et al. Fast image alignment in the Fourier domain , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Takeo Kanade,et al. Multi-subregion based probabilistic approach toward pose-invariant face recognition , 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).
[17] Heikki Mannila,et al. Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.
[18] Ralph Gross,et al. Appearance-based face recognition and light-fields , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Alexei A. Efros,et al. Image quilting for texture synthesis and transfer , 2001, SIGGRAPH.
[20] Wook Sung Kim,et al. Abscess Transformation of Intracardiac Hematoma and Ventricular Rupture after Double‐Patch Repair of Postinfarction Ventricular Septal Defect , 2010, Journal of cardiac surgery.
[21] Daniel P. Huttenlocher,et al. Efficient Belief Propagation for Early Vision , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[22] Hyeonjoon Moon,et al. The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[23] Josef Kittler,et al. Pose-Invariant Face Matching Using MRF Energy Minimization Framework , 2009, EMMCVPR.
[24] Chinmay Hegde,et al. Efficient Machine Learning Using Random Projections , 2007 .
[25] M. Saquib Sarfraz,et al. Probabilistic learning for fully automatic face recognition across pose , 2010, Image Vis. Comput..
[26] Michael J. Jones,et al. Fully automatic pose-invariant face recognition via 3D pose normalization , 2011, 2011 International Conference on Computer Vision.
[27] J. Crowley,et al. Estimating Face orientation from Robust Detection of Salient Facial Structures , 2004 .
[28] William T. Freeman,et al. The Patch Transform , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Jun Li,et al. Boosting dense SIFT descriptors and shape contexts of face images for gender recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[30] Jonathan Warrell,et al. Tied Factor Analysis for Face Recognition across Large Pose Differences , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Yongsheng Gao,et al. Face recognition across pose: A review , 2009, Pattern Recognit..
[32] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[33] Nikos Komodakis,et al. Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning , 2007, IEEE Transactions on Image Processing.
[34] Chengjun Liu,et al. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition , 2002, IEEE Trans. Image Process..
[35] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[36] Thomas Vetter,et al. Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[38] Simon Baker,et al. Equivalence and efficiency of image alignment algorithms , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[39] Shu Liao,et al. A novel Markov random field based deformable model for face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[40] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[41] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[42] Terence Sim,et al. The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[43] Wen Gao,et al. Locally Linear Regression for Pose-Invariant Face Recognition , 2007, IEEE Transactions on Image Processing.
[44] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[45] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[46] Rama Chellappa,et al. Pose-robust albedo estimation from a single image , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] Tsuhan Chen,et al. Learning patch correspondences for improved viewpoint invariant face recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[48] S. Shan,et al. Maximizing intra-individual correlations for face recognition across pose differences , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[49] W. B. Johnson,et al. Extensions of Lipschitz mappings into Hilbert space , 1984 .
[50] William T. Freeman,et al. Understanding belief propagation and its generalizations , 2003 .
[51] I. Jolliffe. Principal Component Analysis , 2002 .
[52] T. Hughes,et al. Signals and systems , 2006, Genome Biology.
[53] Simon Baker,et al. Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.