DocumentCode
3364854
Title
A Comparative Implementation of PCA Face Recognition Algorithm
Author
Morizet, Nicolas ; Amiel, Frédéric ; Hamed, Insaf Dris ; Ea, Thomas
Author_Institution
Inst. Superieur d´´Electron. de Paris, Paris
fYear
2007
fDate
11-14 Dec. 2007
Firstpage
865
Lastpage
868
Abstract
This paper presents PCA algorithm used in face recognition system and its implementation on different architectures in order to choose the best solution for designing a real time face recognition system. Benchmarks and comparisons will be given for PC, DSP and FPGA and results will show that FPGA soft core is too slow for this computation. An IP solution is the best choice. But DSP is also a good compromise for implementing easily the algorithm and having acceptable processing time.
Keywords
face recognition; principal component analysis; DSP; FPGA soft core; PCA face recognition algorithm; digital signal processing chip; field programmable gate arrays; principal component analysis; real time face recognition; Computer architecture; Covariance matrix; Digital signal processing; Eigenvalues and eigenfunctions; Face recognition; Field programmable gate arrays; Iris; Pixel; Principal component analysis; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-1377-5
Electronic_ISBN
978-1-4244-1378-2
Type
conf
DOI
10.1109/ICECS.2007.4511128
Filename
4511128
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