计算机应用与软件Issue(5)：168-171,4.DOI:10.3969/j.issn.1000-386x.2014.05.043
基于格拉斯曼流形上谱聚类的视频人脸识别
VIDEO FACE RECOGNITION BASED ON SPECTRAL CLUSTERING ON GRASSMAN MANIFOLD
杨华勇 1林晓丽 1林立宇2
作者信息
- 1. 武汉科技大学城市学院信息工程学部 湖北 武汉430083
- 2. 武汉大学测绘遥感信息工程国家重点实验室 湖北 武汉430079
- 折叠
摘要
Abstract
Traditional three-dimensional face recognition methods only consider feature extraction but can not be well applied in actual vi-deo face recognition systems.Aiming at this problem,we propose the dynamic 3D video automatic recognition system which is based on spec-tral clustering on Grassman manifold.Firstly,it standardises 3D video datasets through outliers removing,uniform sampling,clipping and posture correcting.Then,it extracts local video clips which lengths are variable from different positions of the training video,and uses spec-tral clustering-based efficient algorithm to represent them as the points on Glassman manifold.Finally,it matches the derived clustering centre with the points in testing video,and completes face recognition of test video using vote-based strategy.The effectiveness of the proposed meth-od is verified by experiments on large-scale popular 3D video database BU4DFE.Experimental results show that the proposed algorithm has better recognition effect than several rather advanced video face recognition algorithms.关键词
人脸识别/格拉斯曼流形/谱聚类/三维视频/面部表情Key words
Face recognition/Grassman manifold/Spectral clustering/Three-dimensional video/Facial expression分类
信息技术与安全科学引用本文复制引用
杨华勇,林晓丽,林立宇..基于格拉斯曼流形上谱聚类的视频人脸识别[J].计算机应用与软件,2014,(5):168-171,4.
