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3d Pose Decoding and Shape Estimati
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Classroom Contents
Deep Network for Integrated 3D Sensing of Multiple People in Natural Images
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- 1 Problem: Human Localization and Grouping
- 2 Objective
- 3 Approach: Find the Skeletal Joints
- 4 Ground Truth: Panoptic Studio
- 5 Computational Pipeline
- 6 Deep Volume Encoding (2d/3d)
- 7 Limb Scoring
- 8 3d Pose Decoding and Shape Estimati
- 9 Given the feature volume of a person and it's skeleton
- 10 SMPL: A Skinned Multi-Person Linear Model
- 11 Deep Autoencoder
- 12 Analysis of learning
- 13 Quantitative Results
- 14 CMU Panoptic dataset
- 15 Qualitative Results
