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28 September 2016 Facial landmark detection in real-time with correlation filtering
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An algorithm for facial landmark detection based on template matched filtering is presented. The algorithm is able to detect and estimate the position of a set of prespecified landmarks by employing a bank of linear filters. Each filter in the bank is trained to detect a single landmark that is located in a small region of the input face image. The filter bank is implemented in parallel on a graphics processing unit to perform facial landmark detection in real-time. Computer simulation results obtained with the proposed algorithm are presented and discussed in terms of detection rate, accuracy of landmark location estimation, and real-time efficiency.
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Viridiana Contreras and Víctor H. Díaz-Ramírez "Facial landmark detection in real-time with correlation filtering", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997123 (28 September 2016);

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