Real-Time Face Verification System on a Cell-Phone Using Advanced Correlation Filters

Authors:
Chee Kiat Ng;Marios Savvides;Pradeep K. Khosla
Affiliations:
Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University
Venue:
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Year:
2005

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Abstract

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 cell-phone, 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.