Abstract
Face recognition in videos is a hot topic in computer vision and biometrics over many years. Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality of facial images, illumination changes, pose variations and occlusions. Related to applications, we divide the existing video based face recognition approaches into two categories: video-image based methods and video-video based methods, which are surveyed and analyzed in this paper. © 2011 Springer-Verlag.
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CITATION STYLE
Zhang, Z., Wang, C., & Wang, Y. (2011). Video-based face recognition: State of the art. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7098 LNCS, pp. 1–9). https://doi.org/10.1007/978-3-642-25449-9_1
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