Abstract
Automated processing of facial images is a problem of interest since the beginning of computer vision. Recently the interest has revived for biometrics and human-computer interaction. I am going to talk about our recent progress in face image analysis:detecting faces in an image with arbitrary size, pose and background, understanding facial actions units of FACS to understand facial expression, and recognizing people by face images. Also, I will talk about “recovering” a higher resolution image of the face from an extremely low resolution image (the process we nicknamed “hallucination”). Common to these methods is a combination of probabilistic approach and critical care of registration in order to obtain better results than previous attempts.
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© 2001 Springer-Verlag Berlin Heidelberg
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Kanade, T. (2001). Detection, Recognition, and Expression Analysis of Human Faces. In: Liu, J., Yuen, P.C., Li, Ch., Ng, J., Ishida, T. (eds) Active Media Technology. AMT 2001. Lecture Notes in Computer Science, vol 2252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45336-9_3
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DOI: https://doi.org/10.1007/3-540-45336-9_3
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