inria-00548548, version 1
Learning to Recover 3D Human Pose from Silhouettes
Learning 2004 - Abstracts of the 2004 Snowbird Learning Workshop (2004)
Abstract: 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.
- 1: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- Domain : Computer Science/Computer Vision and Pattern Recognition
- Keywords : visual learning – human motion – nonlinear regression – kernel methods
- inria-00548548, version 1
- http://hal.inria.fr/inria-00548548
- oai:hal.inria.fr:inria-00548548
- From: Team Lear
- Submitted for:
- Submitted on: Monday, 20 December 2010 09:09:36
- Updated on: Monday, 10 January 2011 10:50:54
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