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Combining random forest with multi-block local binary pattern feature selection for multiclass head pose estimation
A new head pose estimation technique based on Random Forest (RF) and texture features for facial image analysis using a monocular camera is proposed in this paper, especially about how to efficiently combine the random forest and the features. In the proposed technique a randomized tree with useful...
Autores principales: | Kang, Min-Joo, Lee, Jung-Kyung, Kang, Je-Won |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513428/ https://www.ncbi.nlm.nih.gov/pubmed/28715442 http://dx.doi.org/10.1371/journal.pone.0180792 |
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