From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing Facial Identity Surfaces for Recognition
International Journal of Computer Vision
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Reillumination-driven shape from shading
Computer Vision and Image Understanding
Enhanced methods in computer security, biometric and artificial intelligence systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using elastic local reconstruction based on a single face image
Pattern Recognition
A method of illumination compensation for human face image based on quotient image
Information Sciences: an International Journal
Pose-encoded spherical harmonics for face recognition and synthesis using a single image
EURASIP Journal on Advances in Signal Processing
2D face recognition based on supervised subspace learning from 3D models
Pattern Recognition
A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
International Journal of Computer Vision
An overview on model-based approaches in face recognition
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Reillumination-driven shape from shading
Computer Vision and Image Understanding
Embedding view-dependent covariance matrix in object manifold for robust recognition
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Efficient 3D reconstruction for face recognition
Pattern Recognition
Re-illuminating single images using Albedo estimation
Pattern Recognition
Illumination invariant face recognition
Pattern Recognition
Probabilistic learning for fully automatic face recognition across pose
Image and Vision Computing
Face recognition based on pose-variant image synthesis and multi-level multi-feature fusion
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
A method of creating 3-D face images from 2-D photos for face recognition
International Journal of Biometrics
Robust open-set face recognition for small-scale convenience applications
Proceedings of the 32nd DAGM conference on Pattern recognition
General pose face recognition using frontal face model
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
3D assisted 2d face recognition: methodology
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Pose-encoded spherical harmonics for robust face recognition using a single image
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
A survey of 3d face recognition methods
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Pose invariant face recognition under arbitrary illumination based on 3d face reconstruction
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
3D model-based face recognition in video
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Pose-robust face recognition via sparse representation
Pattern Recognition
Robust frontal view search using extended manifold learning
Journal of Visual Communication and Image Representation
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Sensitivity to variations in pose is a challenging problem in face recognition using appearance-based methods. More specifically, the appearance of a face changes dramatically when viewing and/or lighting directions change. Various approaches have been proposed to solve this difficult problem. They can be broadly divided into three classes: 1) multiple image based methods where multiple images of various poses per person are available, 2) hybrid methods where multiple example images are available during learning but only one database image per person is available during recognition, and 3) single image based methods where no example based learning is carried out. In this paper, we present a method that comes under class 3. This method based on shape-from-shading (SFS) improves the performance of a face recognition system in handling variations due to pose and illumination via image synthesis.