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Descripción
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| Head pose estimation systems have quickly evolved from sim- ple classifiers estimating a few yaw angles, to the most recent regression approaches that provide precise 3D face orientations in images acquired ?in-the-wild?. Accurate evaluation of these algorithms is an open issue. Although the most recent approaches are tested using a few challenging annotated databases, their published results are not comparable. In this paper we review these works, define a common evaluation methodology, and establish a new state-of-the-art for this problem. | |
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Internacional
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Si |
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Nombre congreso
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Iberoamerican Congress on Pattern Recognition |
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Tipo de participación
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960 |
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Lugar del congreso
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Valparaíso, Chile |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-75192-4 |
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DOI
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https://doi.org/10.1007/978-3-319-75193-1 |
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Fecha inicio congreso
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07/11/2017 |
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Fecha fin congreso
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10/11/2017 |
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Desde la página
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45 |
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Hasta la página
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52 |
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Título de las actas
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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications |