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- W1511091893 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 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." @default.
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- W1511091893 date "2006-10-11" @default.
- W1511091893 modified "2023-09-26" @default.
- W1511091893 title "Real-Time Face Verification System on a Cell-Phone Using Advanced Correlation Filters" @default.
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- W1511091893 doi "https://doi.org/10.1109/autoid.2005.42" @default.
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