An efficient implementation and evaluation of robust face sequence matching
An efficient implementation and evaluation of robust face sequence matching
复制标题
鲁棒人脸序列匹配的高效实现和评估
DOI：
10.1109/iciap.1999.797606
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Norio Katayama
中科院分区：
文献类型：
--
作者：
S. Satoh;Norio Katayama
本文提出了一种鲁棒、高效的视频人脸序列匹配方法。人脸信息对于新闻节目、电视剧和电影来说是非常重要的。用于这样的视频的面部序列匹配使得许多多媒体应用成为可能，包括基于内容的面部检索、自动面部注释、自动视频创作等。然而，视频中的面部序列受到照明条件、姿势、面部表情等的变化的影响，这导致面部匹配的困难。通过解决这些问题，实现了适用于真实的视频领域的鲁棒人脸序列匹配，并给出了其高效实现方法。实验证明，该方法在实际视频域中取得了良好的效果.此外，通过与高维索引结构相结合，该算法实现了实用的计算时间，以及对人脸数量的增加的可扩展性。
This paper presents a robust and efficient matching method for face sequences obtained from videos. Face information is quite important especially for news programs, dramas, and movies. Face sequence matching for such videos enables many multimedia applications including content-based face retrieval, automated face annotation, automated video authoring, etc. However face sequences in videos are subject to variations in lighting conditions, pose, face expression, etc., which cause difficulty in face matching. These problems are tackled to achieve robust face sequence matching applicable to real video domains, and its efficient implementation is presented. The paper proves the proposed method achieves good performance in actual video domains. In addition, by combination with the high-dimensional index structure, the algorithm achieves practical computational time, as well as scalability against increase of the number of faces.
基于特征脸的人脸建模与识别
DOI：
--
发表时间：
2003
期刊：
IPSJ SIG Technical Reports Vol. CVIM-139
影响因子：
--
作者：
T.;Shakunaga;F.;Sakaue;Y.;Matsubara
通讯作者：
Matsubara