Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retinal vision applied to facial features detection and face authentication
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Tutorial on maximum likelihood estimation
Journal of Mathematical Psychology
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity in Perception: A Window to Brain Organization
Journal of Cognitive Neuroscience
A Component-based Framework for Face Detection and Identification
International Journal of Computer Vision
Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Learning to learn: From smart machines to intelligent machines
Pattern Recognition Letters
A Hierarchical Compositional Model for Face Representation and Sketching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable face recognition using adaptive and robust correlation filters
Computer Vision and Image Understanding
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Image and Vision Computing
Learning weighted similarity measurements for unconstrained face recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
International Journal of Computer Vision
Psychophysically inspired bayesian occlusion model to recognize occluded faces
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
Engineering Applications of Artificial Intelligence
A separable low complexity 2D HMM with application to face recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
An automated methodology for assessing the damage on byzantine icons
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
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The presence of occlusions in facial images is inevitable in unconstrained scenarios. However recognizing occluded faces remains a partially solved problem in computer vision. In this contribution we propose a novel Bayesian technique inspired by psychophysical mechanisms relevant to face recognition to address the facial occlusion problem. For some individuals certain facial regions, e.g. features comprising of some of the upper face, might be more discriminative than the rest of the features in the face. For others, it might be the features over the mid face and some of the lower face that are important. The proposed approach in this paper, will allow for such a psychophysical analysis to be factored into the recognition process. We have discovered and modeled similarity mappings that exist in facial domains by means of Bayesian Networks. The model can efficiently learn and exploit these mappings from the facial domain and hence capable of tackling uncertainties caused by occlusions. The proposed technique shows improved recognition rates over state of the art techniques.