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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: | , , |
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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 |