28 September 2016 Facial landmark detection in real-time with correlation filtering
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Abstract
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, Viridiana Contreras, Víctor H. Díaz-Ramírez, 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); doi: 10.1117/12.2238098; https://doi.org/10.1117/12.2238098
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