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Takeo Kanade

    Computer recognition of human faces
    Audio- and video-based biometric person authentication
    • This book constitutes the refereed proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2005, held in Hilton Rye Town, NY, USA, in July 2005. The 66 revised oral papers and 50 revised poster papers presented were carefully reviewed and selected from numerous submissions. The papers discuss all aspects of biometrics including iris, fingerprint, face, palm print, gait, gesture, speaker, and signature; theoretical and algorithmic issues are dealt with as well as systems issues. The industrial side of biometrics is evident from presentations on smart cards, wireless devices, and architectural and implementation aspects.

      Audio- and video-based biometric person authentication
    • Picture processing by computer has diverse applications, with character recognition being notably successful. Techniques extend to sophisticated uses like interpreting biomedical images, analyzing X-ray films, measuring images in nuclear physics, and processing extensive pictorial data from satellites. This research focuses on the computer analysis and identification of human faces. A computer program successfully analyzes facial features, extracting key points such as the nose, mouth, and eyes. Tested with over 800 photographs, the research emphasizes integrating picture structures into the analysis program. The program's success is attributed to a flexible analysis scheme with feedback mechanisms, which will be elaborated in the following chapter. An experiment involving face identification of 20 individuals was also conducted. When presented with images of human faces, we can easily identify the positions of facial features and recognize that both images depict the same person. This thesis centers on human-face pictures as the subject of processing, highlighting advancements in picture analysis and recognition through computer technology.

      Computer recognition of human faces