Determination of 3D human body postures from a single view

Lee, Hsi-Jian; Chen, Zen

doi:10.1016/0734-189x(85)90137-9

Cited by 60 publications

(83 citation statements)

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“…This happens simply because this model treats configurations as temporally independent of each other. Other approaches that use a single image include [3,14,25,28,40]; however, most of these methods also require that projected joint locations be given as input. In our approach this is not necessary.…”

Section: Related Workmentioning

confidence: 99%

The Specialized Mappings Architecture

Rosales¹,

Sclaroff²

2003

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A probabilistic, nonlinear supervised learning model is proposed: the Specialized Mappings Architecture (SMA). The SMA employs a set of several forward mapping functions that are estimated automatically from training data. Each specialized function maps certain domains of the input space (e.g., image features) onto the output space (e.g., articulated body parameters). The SMA can model ambiguous, one-to-many mappings that may yield multiple valid output hypotheses. Once learned, the mapping functions generate a set of output hypotheses for a given input via a statistical inference procedure.The SMA inference procedure incorporates an inverse mapping or feedback function in evaluating the likelihood of each of the hypothesis. Possible feedback functions include computer graphics rendering routines that can generate images for given hypotheses. The SMA employs a variant of the ExpectationMaximization algorithm for simultaneous learning of the specialized domains along with the mapping functions, and approximate strategies for inference. The framework is demonstrated in a computer vision system that can estimate the articulated pose parameters of a human's body or hands, given silhouettes from a single image. The accuracy and stability of the SMA are also tested using synthetic images of human bodies and hands, where ground truth is known.

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Section: Related Workmentioning

confidence: 99%

The Specialized Mappings Architecture

Rosales¹,

Sclaroff²

2003

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“…However, it may be hard to obtain them directly from the image and usually various assumptions are introduced to simplify matters. In the work by Lee and Chen [83] the positions of the joints in the image and the 3D length of each segment are known beforehand. Given the 3D position of the neck a partial tree is build.…”

Section: Abstraction Levelsmentioning

confidence: 99%

A Survey of Computer Vision-Based Human Motion Capture

Moeslund¹,

Granum²

2001

Computer Vision and Image Understanding

1,422

642

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“…There can be at most two such points between planes since if there are three noncollinear articulations the two moving planes are, in fact, the same plane. Singly articulated planar systems are a popular model of the human body [14,15] (see Figure 2) and what can be considered doubly articulated planar systems have found application in shadow analysis, view synthesis and in scene reconstruction, [18,12,21]. Under the action of a projective camera, the motion field induced by a moving plane can be described by a homography,…”

Section: Articulated Planesmentioning

confidence: 99%

Linear motion estimation for systems of articulated planes

Datta

Sheikh

Kanade

2008

2008 IEEE Conference on Computer Vision and Pattern Recognition

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In this paper, we describe the explicit application of articulation constraints for estimating the motion of a system of planes. We relate articulations to the relative homography between planes and show that for affine cameras, these articulations translate into linear equality constraints on a linear least squares system, yielding accurate and numerically stable estimates of motion. The global nature of motion estimation allows us to handle areas where there is limited texture information and areas that leave the field of view. Our results demonstrate the accuracy of the algorithm in a variety of cases such as human body tracking, motion estimation of rigid, piecewise planar scenes and motion estimation of triangulated meshes.

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Determination of 3D human body postures from a single view

Cited by 60 publications

References 0 publications

The Specialized Mappings Architecture

The Specialized Mappings Architecture

A Survey of Computer Vision-Based Human Motion Capture

Linear motion estimation for systems of articulated planes

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