Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Expression Recognition from Time-Sequential Facial Images by Use of Expression Change Model
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Phantom faces for face analysis
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
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)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convergent Tree-Reweighted Message Passing for Energy Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tied Factor Analysis for Face Recognition across Large Pose Differences
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A Mosaicing Scheme for Pose-Invariant Face Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Frontal face authentication using morphological elastic graph matching
IEEE Transactions on Image Processing
Design and Fusion of Pose-Invariant Face-Identification Experts
IEEE Transactions on Circuits and Systems for Video Technology
Computer Vision and Image Understanding
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A pose-invariant face verification system based on an image matching method is presented. The method uses the normalized energy of the established match between images as a measure of goodness-of-match. The method can tolerate moderate global spatial transformations between the gallery and the test images and alleviates the need for geometric and photometric normalization of facial images. It requires no training on non-frontal face images. A number of innovations, such as a dynamic block size and block shape adaptation, as well as label pruning and error prewhitening measures have been introduced to increase the effectiveness of the approach. The experimental evaluation of the method is performed on the rotation shots of the XM2VTS database and promising results are obtained.