Face recognition using more than one still image: what is more?

Authors:
Shaohua Kevin Zhou
Affiliations:
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

While face recognition from a single still image has been extensively studied over a decade, face recognition based on more than one still image, such as multiple still images or a video sequence, is an emerging topic Using more than one image introduces new recognition settings In terms of recognition algorithm, multiple still images or a video sequence can be treated as a single still image in a degenerate manner However, this treatment neglects additional properties present in multiple still images and/or video sequences In this paper, we review three properties, manifested in multiple still images and/or video sequence, and their implications to different recognition settings We also list corresponding approaches proposed in the literature that utilize these properties.