A talking profile to distinguish identical twins |
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Authors: | Li Zhang KengTeck Ma Hossein Nejati Lewis Foo Terence Sim Dong Guo |
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Affiliation: | 1. School of Computing, National University of Singapore, Singapore;2. Facebook Inc., Palo Alto, CA, United States |
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Abstract: | Identical twins pose a great challenge to face recognition due to high similarities in their appearances. Motivated by the psychological findings that facial motion contains identity signatures and the observation that twins may look alike but behave differently, we develop a talking profile to use the identity signatures in the facial motion to distinguish between identical twins. The talking profile for a subject is defined as a collection of multiple types of usual face motions from the video. Given two talking profiles, we compute the similarities of the same type of face motion in both profiles and then perform the classification based on those similarities. To compute the similarity of each type of face motion, we give higher weights to more abnormal motions which are assumed to carry more identity signature information. |
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Keywords: | Talking profile Identical twins Abnormal motions EMRM |
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