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Documents Associated With Scientific Events Year : 2004

Learning to Recover 3D Human Pose from Silhouettes

Ankur Agarwal
  • Function : Author
  • PersonId : 844845
Learning and recognition in vision
Bill Triggs
Learning and recognition in vision

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.

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Computer Vision and Pattern Recognition [cs.CV]
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https://inria.hal.science/inria-00548548

Submitted on : Monday, December 20, 2010-9:09:36 AM

Last modification on : Thursday, April 4, 2024-9:04:46 PM

Long-term archiving on: Monday, March 21, 2011-3:15:13 AM

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inria-00548548 , version 1 (20-12-2010)

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  • HAL Id : inria-00548548 , version 1

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Ankur Agarwal, Bill Triggs. Learning to Recover 3D Human Pose from Silhouettes. Yann LeCun and Yoshua Bengio. Learning 2004 - Abstracts of the 2004 Snowbird Learning Workshop, Apr 2004, Snowbird, United States. 2004. ⟨inria-00548548⟩

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