Running head : Identity from Facial Motion 1 Categorising Identity from Facial Motion
نویسندگان
چکیده
منابع مشابه
Categorizing identity from facial motion.
Advances in marker-less motion capture technology now allow the accurate replication of facial motion and deformation in computer-generated imagery (CGI). A forced-choice discrimination paradigm using such CGI facial animations showed that human observers can categorize identity solely from facial motion cues. Animations were generated from motion captures acquired during natural speech, thus e...
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Head and facial movements can provide valuable cues to identity in addition to their primary roles in communicating speech and expression [1-8]. Here we report experiments in which we have used recent motion capture and animation techniques to animate an average head [9]. These techniques have allowed the isolation of motion from other cues and have enabled us to separate rigid translations and...
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Facial movements convey information about many social cues, including identity. However, how much information about a person's identity is conveyed by different kinds of facial movements is unknown. We addressed this question using a recent motion capture and animation system, with which we animated one avatar head with facial movements of three types: (1) emotional, (2) emotional in social int...
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Previous research has shown that facial motion can carry information about age, gender, emotion and, at least to some extent, identity. With respect to identity, two important issues remain unresolved: first it is unclear to what extent purely non-rigid facial motion contributes to the processing of identity. Secondly, as most previous studies have involved techniques that severely reduced avai...
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Previous research has shown that facial motion can carry information about age, gender, emotion and, at least to some extent, identity. By combining recent computer animation techniques with psychophysical methods, we show that during the computation of identity the human face recognition system integrates both types of information: individual non-rigid facial motion and individual facial form....
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