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An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques InTech
Christophe Doignon.
With this article, we have addressed some issues in pose estimation with geometrical features and a modelbased approach in the context of monocular vision. While the 3-D tracking/estimation may be performed with optimal estimators (with the Kalman filter and its extended/nonlinear versions or with the particle filter also referred to as the sequential Monte Carlo method), system models and state vectors need the pose parameters recovery or the 3-D motion recovery from the motion field. The pose determination is needed for applications with high accurate 3-D positioning requirements, when occlusions, shadows or abrupt motions have to be handle. To this purpose, several geometrical featurebased approaches have been reviewed for solving the pose with various...
Tipo: 20 Palavras-chave: Scene Reconstruction Pose Estimation and Tracking.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/an_introduction_to_model-based_pose_estimation_and_3-d_tracking_techniques
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