How Should We RepresentFaces for Automatic Recognition?
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Classification of Single Facial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Enhanced methods in computer security, biometric and artificial intelligence systems
Sketch of autopoietic essence of computing and knowledge working
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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With complex multimedia data, we see the emergence of biometric identification/authentication systems in which the fundamental operation is the similarity assessment of natural information-carrying objects. We have developed a similarity measure JeK, based on new notion of pseudo-entropy. The measure exhibits several features that match experimental findings in multimedia perception. We show how the measure can be used for identification/authentication of complex biometric objects, such as faces and its emotions, voices, and so on. We address the use of the pseudo-entropy measure JeK to deal with relations among the varied properties of 1D, 2D and 3D biometric objects.