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Real-time face verification system on a cell-phone using advanced correlation filters

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3 Author(s)
Ng, C.K. ; Electr. & Comput. Eng. Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Savvides, M. ; Khosla, P.K.

We present a real-time face recognition system that we implemented on a cell-phone using computationally efficient minimum average correlation energy filters. We examine the challenges faced in realizing such a practical system that can perform both enrollment and verification in real-time on the cell-phone using its limited memory and computational resources. Due to the speed and memory constraints of the cellphone, we optimize the correlation filters using a fast fixed-point implementation of 2D Fourier transform optimal for the cell-phone platform. We also detail an efficient algorithm for synthesizing these filters efficiently in order to minimize computation load and making the system practical with real-time enrollment of users.

Published in:

Automatic Identification Advanced Technologies, 2005. Fourth IEEE Workshop on

Date of Conference:

17-18 Oct. 2005