Multimodal random forest based tensor regression

This study presents a method, called random forest based tensor regression, for real‐time head pose estimation using both depth and intensity data. The method builds on random forests and proposes to train and use tensor regressors at each leaf node of the trees of the forest. The tensor regressors...

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Detalles Bibliográficos
Main Authors: Sertan Kaymak, Ioannis Patras
Formato: Artigo
Idioma:English
Publicado: Wiley 2014-12-01
Series:IET Computer Vision
Subjects:
Acceso en liña:https://doi.org/10.1049/iet-cvi.2013.0320