Paper Info
Title
Real-time implementation of face recognition algorithms on DSP chip
Abstract
This paper describes a prototype implementation of face recognition and verification algorithms in a stand-alone system using the TI TMS320C6711 chip. This system is organized to capture an image sequence, find the features of face in the images, and recognize and verify a person. The current implementation uses the methods of PCA(Principal Component Analysis) and SVM(Support Vector Machines). We have made several tests on video data, and measured the performance and the speed of the proposed system in real environment. Finally, the result has confirmed us that the proposed system can be applied to various applications which are impossible in conventional PC-based systems.
Year
DOI
Venue
2003
10.1007/3-540-44887-X_35
AVBPA
Keywords
Field
DocType
support vector machines,conventional pc-based system,face recognition,real environment,image sequence,principal component analysis,stand-alone system,proposed system,real-time implementation,prototype implementation,face recognition algorithm,dsp chip,current implementation,support vector machine,chip
Digital signal processor,Computer science,Artificial intelligence,Face detection,Distributed computing,Facial recognition system,Computer vision,Simulation,Decision support system,Support vector machine,Chip,Biometrics,Principal component analysis
Conference
Volume
ISSN
ISBN
2688
0302-9743
3-540-40302-7
Citations 
PageRank 
References 
4
0.42
4
Authors
3
Name
Order
Citations
PageRank
Seong-Whan Lee13756343.90
Sang-woong Lee214218.62
Ho-Choul Jung3131.68