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Robust Statistical Frontalization of Human and Animal Faces
The unconstrained acquisition of facial data in real-world conditions may result in face images with significant pose variations, illumination changes, and occlusions, affecting the performance of facial landmark localization and recognition methods. In this paper, a novel method, robust to pose, il...
Autores principales: | Sagonas, Christos, Panagakis, Yannis, Zafeiriou, Stefanos, Pantic, Maja |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089674/ https://www.ncbi.nlm.nih.gov/pubmed/32226226 http://dx.doi.org/10.1007/s11263-016-0920-7 |
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