English

Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction

Computer Vision and Pattern Recognition 2019-03-08 v1

Abstract

We introduce a synthetic dataset for evaluating non-rigid 3D human reconstruction based on conventional RGB-D cameras. The dataset consist of seven motion sequences of a single human model. For each motion sequence per-frame ground truth geometry and ground truth skeleton are given. The dataset also contains skinning weights of the human model. More information about the dataset can be found at: https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/

Keywords

Cite

@article{arxiv.1903.02679,
  title  = {Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction},
  author = {Shafeeq Elanattil and Peyman Moghadam},
  journal= {arXiv preprint arXiv:1903.02679},
  year   = {2019}
}

Comments

More information at https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/

R2 v1 2026-06-23T08:00:35.035Z