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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...

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Detalles Bibliográficos
Autores principales: Sagonas, Christos, Panagakis, Yannis, Zafeiriou, Stefanos, Pantic, Maja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
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