Pose estimation and tracking using multivariate regression

Pose estimation and tracking using multivariate regression

This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an articulated object from a single camera. RVMs are used to learn a one-to-many mapping from image features to state space,...

書誌詳細
主要な著者:	Thayananthan, A, Navaratnam, R, Stenger, B, Torr, PHS, Cipolla, R
フォーマット:	Journal article
言語:	English
出版事項:	Elsevier 2008

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