Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image on ShortScience.org

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Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
Bogo, Federica and Kanazawa, Angjoo and Lassner, Christoph and Gehler, Peter V. and Romero, Javier and Black, Michael J.
European Conference on Computer Vision - 2016 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by Kirill Pevzner 7 years ago

Problem
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Given an unconstrained image, estimate:
1. 3d pose of human skeleton 
2. 3d body mesh


Contributions
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1. full body mesh extraction from image
2. improvement of state of the art


Datasets
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1. Leeds Sports
2. HumanEva
3. Human3.6M


Approach
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Consider the problem both bottom-up and top-down.
1. Bottom-up: DeepCut cnn model to fit joints 2d positions onto the image.
2. top-down: A skinned multi-person linear model (SMPL) is fitted and projected onto 2d joint positions and image.

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