Face alignment combined with shape constraints and Gaussian heatmap
Author:
Funder
Open Project of Key Laboratory of Ministry of Public Security for Road Traffic Safety
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-023-01895-6.pdf
Reference43 articles.
1. Kakadiaris IA, Toderici G, Evangelopoulos G, Passalis G, Chu D, Zhao X, Shah SK, Theoharis T (2017) 3d–2d face recognition with pose and illumination normalization. Comput Vis Image Understanding 154:137–151
2. Ariz M, Villanueva A, Cabeza R (2019) Robust and accurate 2d-tracking-based 3d positioning method: application to head pose estimation. Comput Vis Image Understand 180:13–22
3. Feng Y, Wu F, Shao X, Wang Y, Zhou X (2018) Joint 3d face reconstruction and dense alignment with position map regression network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 534–551
4. Xiong X, Dela Torre F (2013) Supervised descent method and its applications to face alignment. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 532–539
5. Cao X, Wei Y, Wen F, Sun J (2014) Face alignment by explicit shape regression. Int J Comput Vis 107(2):177–190
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