... This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights

images or new 3D face models can be registered automatically by computing dense one-to-one correspondence to an internal face model. Second, the approach regulates the naturalness of modeled faces avoiding faces with an "unlikely" appearance. Starting from

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... This paper surveys the past work in solving these problems. The capability of the human visual system with respect to these problems is discussed, too. It is meant to serve as an ultimate goal and a guide for determining recommendations for development of an automatic facial expression analyzer

in magazine or newspaper reviews excepted), without the prior permission of the publisher. The sessions, presbyteries, and synods of the Presbyterian Church (U.S.A.) may use sections of this publication without receiving prior written permission from the publisher.

that uses procedural techniques to enable authors to create layered, continuous, non-repetitive motions and smooth transitions between them. The second subsystem is a Behavior Engine that enables authors to create sophisticated rules governing how actors communicate, change, and make decisions. The combined

We investigate whether combining appearance (face structure) and motion (the way a person is talking and moving his/her facial features) boosts gender classification from face sequences. We propose and compare different schemes based on appearance only, motion only, and combination of appearance

Pinker, S. & Bloom, P. (1990). Natural language and natural selection. Behavioral and Brain Sciences 13

different architectures, focusing on changes in distribution assumptions and feature dependency structures. We also introduce a facial expression recognition from live video input using temporal cues. Methods for using temporal information have been extensively explored for speech recognition applications

, and gray-level appearance parameters to be recovered. A good approximation to a given face can be reconstructed using less than 100 of these parameters. This representation can be used for tasks such as image coding, person identification, 3D pose recovery, gender recognition, and expression recognition