关键词: 视频人脸检索, 人脸识别, 仿射包, 伪Zernike矩

Abstract: Video-based face retrieval has become one of the hottest topics in the domain of face recognition and retrieval. A face retrieval algorithm based on affine hull and pseudo-zernike moments in video （FRIVAP） is proposed. The sets of images of faces are constructed by detecting and tracking human faces in videos, in which the pseudo-zernike moments of faces are extracted, and the affine hulls for the features in image sets are set up, the same or similar faces are retrieved by calculating the similarity. Experimental results on Honda/UCSD and self-constructed video databases show that the proposed algorithm fully utilizes both spatial and temporal information of faces in video, and robust under noise, pose variations.

Key words: face retrieval in video, face recognition, affine hull, pseudo-zernike moments