Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
Paper summary Problem ---------- Given an unconstrained image, estimate: 1. 3d pose of human skeleton 2. 3d body mesh Contributions ----------- 1. full body mesh extraction from image 2. improvement of state of the art Datasets ------------- 1. Leeds Sports 2. HumanEva 3. Human3.6M Approach ---------------- 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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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


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