Audio-visual multi-person tracking and identification for smart environments
Proceedings of the 15th international conference on Multimedia
Probabilistic integration of sparse audio-visual cues for identity tracking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Multimodal identity tracking in a smart room
Personal and Ubiquitous Computing
A robot learns to know people: first contacts of a robot
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
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In this paper we present the experimental results of a generic local appearance based face representation approach obtained from the first and fourth experiments of the Face Recognition Grand Challenge (FRGC) version 1 data. The introduced representation approach is compared with the baseline system with the standard distance metrics of L1 norm, L2 norm and cosine angle. The experimental results show that the proposed local appearance based approach provides better and more stable results than the baseline system -holistic Eigenfaces- approach.