@ARTICLE{8353147,
author={K. {Yin} and H. {Huang} and E. S. L. {Ho} and H. {Wang} and T. {Komura} and D. {Cohen-Or} and H. {Zhang}},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations},
year={2019},
volume={25},
number={6},
pages={2217-2227},
keywords={Bayes methods;image annotation;image motion analysis;image reconstruction;image representation;image sampling;Markov processes;Monte Carlo methods;pose estimation;probability;video signal processing;sampling approach;data-driven method;3D human pose-pairs;data generation problem;2D pose-pair;target motion category;pose spaces;video data;Markov chain Monte Carlo sampling;2D annotations;motion category;3D sensors;3D acquisition;2D-to-3D data;MCMC sampling;video frames;seed 3D pose-pairs;probability density function;interaction coordinates;input 2D pose-pairs;Metropolis-Hastings algorithm;Three-dimensional displays;Two dimensional displays;Probability density function;Integrated circuits;Databases;Optical sensors;Closely interacting 3D human poses;data generation and augmentation;MCMC sampling},
doi={10.1109/TVCG.2018.2832097},
ISSN={},
month={June},}