14 May 2020 Facial landmark detection and tracking with dynamically adaptive matched filters
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A reliable method for the detection and tracking of facial landmarks in image sequences is presented. Given a set of prespecified facial landmarks in a reference face image, a bank of composite matched filters is constructed for reliable detection and accurate location of the landmarks in an input image sequence. The filter bank is dynamically adapted to each captured frame by learning from current and past landmark detections and considering geometrical modifications of the landmarks. The detected landmarks are accurately tracked using a kinematic motion model that predicts their coordinates in future frames. The performance of facial landmark detection and tracking obtained with the proposed method is tested by processing real-life image sequences. The obtained results are analyzed and discussed in terms of objective measures.

© 2020 SPIE and IS&T 1017-9909/2020/$28.00© 2020 SPIE and IS&T
Viridiana Contreras-Gonzalez, Victor Hugo Diaz-Ramirez, and Rigoberto Juarez-Salazar "Facial landmark detection and tracking with dynamically adaptive matched filters," Journal of Electronic Imaging 29(3), 033004 (14 May 2020). https://doi.org/10.1117/1.JEI.29.3.033004
Received: 13 February 2020; Accepted: 30 April 2020; Published: 14 May 2020
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Cited by 3 scholarly publications.
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Image processing

Signal to noise ratio


Facial recognition systems


Image filtering

Digital filtering

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