Paper Info
Title
Development of Face Recognition System Using Multi-views Database
Abstract
This paper presents a new multi-views face database and some development results on face recognition tasks based on it. Our objective is to find an efficient and simple algorithm for performing face recognition in real time. The image acquisition system is composed of five standard cameras, which together can simultaneously take five pictures of a human face from different perspectives. We address the problem of face recognition using Independent Component Analysis (ICA). We explore the issues of subspace selection, algorithm comparison, and multi-views face recognition performance. In order to make full use of the multi-views property, we also propose a strategy of majority voting among the five views, which can improve the recognition rate. Experimental results show that ICA is a promising method among the many possible face recognition methods, and that the ICA algorithm with majority-voting is currently the best choice for our purposes.
Year
DOI
Venue
2007
10.1109/SITIS.2007.108
SITIS
Keywords
Field
DocType
possible face recognition method,multi-views face recognition performance,ica algorithm,human face,face recognition task,face recognition,face recognition system,multi-views property,algorithm comparison,recognition rate,multi-views database,new multi-views,face,databases,biometric,computer vision,principal component analysis,real time,independent component analysis,algorithm design and analysis,feature selection,majority voting
Feature selection,Computer science,Face Recognition Grand Challenge,Artificial intelligence,Face detection,Computer vision,Facial recognition system,Algorithm design,3D single-object recognition,Pattern recognition,Three-dimensional face recognition,Biometrics,Machine learning,Database
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
4
Name
Order
Citations
PageRank
Xiaojuan Liu100.34
Jianwu Dang229391.90
Fan Yang313313.50
Michel Paindavoine411521.70