Learning to Reconstruct 3D Human Pose and Motion from Silhouettes

author: Ankur Agarwal, INRIA - The French National Institute for Research in Computer Science and Control
published: Feb. 25, 2007,   recorded: May 2004,   views: 561
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Description

We will describe our ongoing work on learning-based methods for recovering 3D human body pose and motion from single images and from monocular image sequences. The methods work directly with raw image observations and require neither an explicit 3D body model nor a prior labelling of body parts in the image. Instead, they recover the body pose or motion by direct nonlinear regression against shape descriptors extracted automatically from image silhouettes or contours.

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