Abstract
Video based facial recognition is an appealing modality in biometrics due to its acceptability and case of use but the associated recognition rate is not high enough due to multiple sources of variation and lack of constraints in real world applications. In this article we investigate the possible contribution of facial mimics extracted from low quality videos for person recognition. The initial results reported tend to validate this original proposal, thus opening some new perspectives for design of future hybrid and efficient system combining facial appearance and dynamics.