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Proceedings Paper

Embedded wavelet-based face recognition under variable position
Author(s): Pascal Cotret; Stéphane Chevobbe; Mehdi Darouich
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Paper Abstract

For several years, face recognition has been a hot topic in the image processing field: this technique is applied in several domains such as CCTV, electronic devices delocking and so on. In this context, this work studies the efficiency of a wavelet-based face recognition method in terms of subject position robustness and performance on various systems. The use of wavelet transform has a limited impact on the position robustness of PCA-based face recognition. This work shows, for a well-known database (Yale face database B*), that subject position in a 3D space can vary up to 10% of the original ROI size without decreasing recognition rates. Face recognition is performed on approximation coefficients of the image wavelet transform: results are still satisfying after 3 levels of decomposition. Furthermore, face database size can be divided by a factor 64 (22K with K = 3). In the context of ultra-embedded vision systems, memory footprint is one of the key points to be addressed; that is the reason why compression techniques such as wavelet transform are interesting. Furthermore, it leads to a low-complexity face detection stage compliant with limited computation resources available on such systems. The approach described in this work is tested on three platforms from a standard x86-based computer towards nanocomputers such as RaspberryPi and SECO boards. For K = 3 and a database with 40 faces, the execution mean time for one frame is 0.64 ms on a x86-based computer, 9 ms on a SECO board and 26 ms on a RaspberryPi (B model).

Paper Details

Date Published: 27 February 2015
PDF: 12 pages
Proc. SPIE 9400, Real-Time Image and Video Processing 2015, 94000A (27 February 2015); doi: 10.1117/12.2083046
Show Author Affiliations
Pascal Cotret, CEA, LIST, Lab. Adéquation Algorithme Arcitecture (France)
Stéphane Chevobbe, CEA, LIST, Lab. Adéquation Algorithme Arcitecture (France)
Mehdi Darouich, CEA, LIST, Lab. Adéquation Algorithme Arcitecture (France)


Published in SPIE Proceedings Vol. 9400:
Real-Time Image and Video Processing 2015
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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