ReadMe_Info.txt

 

%====================================================================
This code is for our Machine Vision and Applications 2014 paper:

	
“3D Human Pose Estimation from Image using Couple Sparse Coding”

This work is created by Mohammadreza Zolfaghari, Amin Jourabloo, S. Ghareh Gozlou, Bahmand Pedrood, M.T. Manzuri-Shalmani from Sharif University of Technology and Amirkabir University of Technology.



%———————————————— Citing this work ————————————

If you are using this code for your research, please cite the following paper:

@article{MZolfaghariMVA14,
  author    = {Mohammadreza Zolfaghari and
               Amin Jourabloo and
               Samira Ghareh Gozlou and
               Bahman Pedrood and
               Mohammad T. Manzuri Shalmani},
  title     = {3D human pose estimation from image using couple sparse coding},
  journal   = {Mach. Vis. Appl.},
  volume    = {25},
  number    = {6},
  pages     = {1489--1499},
  year      = {2014},
  url       = {http://dx.doi.org/10.1007/s00138-014-0613-6},
  doi       = {10.1007/s00138-014-0613-6},
  timestamp = {Tue, 15 Jul 2014 01:00:00 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/mva/ZolfaghariJGPS14},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}


%———————————————— Copyright ————————————

Copyright: Mohammadreza Zolfaghari (Sharif University of Technology), Amin Jourabloo (Michigan State University).
Contact:  mzolfaghari@ce.sharif.edu; jourablo@msu.edu 



Download source code from https://github.com/mzolfaghari/3DPoseUsingCoupleSparseCoding 


%———————————————— Database ————————————
In the paper, We tested the performance of the proposed method on CMU Mocap database which consists of different activities such as acrobatic, navigate, throw and catch football, golf, laugh, Michael Jackson styled motions, run and kick soccer ball, which is available online at http://mocap. cs.cmu.edu. In all the experiments, we used this dataset in BVH format to create synthesized poses rendered from real motion captured data by POSER
Please find it in https://github.com/mzolfaghari/3DPoseUsingCoupleSparseCoding/Database

a) X (100-D) correspond to the Histogram of Shape Context features extracted from images
b) Y (60-D) correspond to 3D pose of images.


%————————————————— Usage —————————————

Run.m is the main function to reproduce the results in the paper.

Render BVH:
To generate 3D human shapes you need produce BVH formats of each video sequence.
In this code, we provide Demo_renderBVH.m which produces BVH formats for estimated poses. Then you can import generated BVH files into any proper software like POSER (available at http://www.poser.com) to generate 3D human shapes.

 In Help_ImportBVH_POSER.png you can find how to import BVH into POSER
 software


Please refer to renderbody_example function in the MocapRoutines folder to
find more methods in rendering your 3D Human models provided by Ankur
Agarwal in "Recovering 3D Human Pose from Monocular Images", PAMI, 2005


Also you can find useful tools to animate your outputs in:
http://mocap.cs.cmu.edu/tools.php

%————————————————— Contact —————————————


If you have any question about paper or issues running the codes, please contact:

 Mohammadreza Zolfaghari (mzolfaghari@ce.sharif.edu).


Thanks.