Performance evaluation of facial landmark detection methods

Yuliet Brito-Muñoz; Victor H. Diaz-Ramirez; Martin Gonzalez-Ruiz; Rigoberto Juarez-Salazar

doi:10.1117/12.2677146

4 October 2023 Performance evaluation of facial landmark detection methods

Yuliet Brito-Muñoz, Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Rigoberto Juarez-Salazar

Proceedings Volume 12673, Optics and Photonics for Information Processing XVII; 1267304 (2023) https://doi.org/10.1117/12.2677146
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

The detection and localization of landmarks in human face images is an essential task in many computer vision applications. This task is challenging because face images can contain geometric modifications due to gesticulations and pose changes, and degradation caused by noise or nonuniform illumination. This work presents an exhaustive evaluation of several state-of-the-art facial landmark detection methods. The performance of each tested method is characterized in terms of reliability of landmark detection and accuracy of landmark localization. Computational results obtained in facial landmark recognition using images from well-known datasets are presented, discussed and compared in terms of objective measures.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuliet Brito-Muñoz, Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, and Rigoberto Juarez-Salazar "Performance evaluation of facial landmark detection methods", Proc. SPIE 12673, Optics and Photonics for Information Processing XVII, 1267304 (4 October 2023); https://doi.org/10.1117/12.2677146

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