Title | ||
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Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. |
Abstract | ||
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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/ |
Year | DOI | Venue |
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2019 | 10.25919/5c495488b0f4e | arXiv: Computer Vision and Pattern Recognition |
DocType | Volume | Citations |
Journal | abs/1903.02679 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shafeeq Elanattil | 1 | 1 | 0.69 |
Peyman Moghadam | 2 | 165 | 12.92 |