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Proceedings Paper

Facial landmark detection in real-time with correlation filtering
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Paper 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.

Paper Details

Date Published: 28 September 2016
PDF: 6 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997123 (28 September 2016); doi: 10.1117/12.2238098
Show Author Affiliations
Viridiana Contreras, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Víctor H. Díaz-Ramírez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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