email: [email protected]
This matlab code demo the 3D human pose estimation from single RGB image with given 2D pose landmarks. The 2D pose can be derived by state-of-the-art CNN such as CPM (https://github.com/shihenw/convolutional-pose-machines-release) or Hourglass
Before start, check out the demo videos!
Download the 3D pose library from the following link: https://drive.google.com/file/d/0BxZCS0CAHYZpRjA2S1FsWDNhcEU/view?usp=sharing
Usage: 1. Open Matlab, set and include current directory to "Release", put "3D_library.mat" in "Release" folder 2. Run demo.m (few examples are provided with associated 2D pose by CPM) 3. Implement 2D pose estimation (ex. CPM or Hourglass) to run your own examples 4. Change the input image in demo.m (line 26) and load your own 2D pose estimation (line 32)
3D Human Pose Estimation = 2D Pose Estimation + Matching http://arxiv.org/abs/1612.06524