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

Commonwealth Scientific and Industrial Research Organisation
Elanattil, Shafeeq ; Moghadam, Peyman
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Brief description

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 different actions of a single human model. For each motion sequence per-frame ground truth geometry of the human model and ground truth skeleton are given. The dataset also contains skinning weights of the human model. Detailed documentation js available in the https://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/

Available: 2019-01-24

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Related Publications

  • Associated with S. Elanattil, P. Moghadam, S. Denman, S. Sridharan and C. Fookes, "Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction," 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, 2018, pp. 1-8.
    uri : arxiv.org/abs/1810.03774

    S. Elanattil, P. Moghadam, S. Denman, S. Sridharan and C. Fookes, "Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction," 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, 2018, pp. 1-8.

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Subjects
3D reconstruction | Artificial Intelligence | Artificial Intelligence Not Elsewhere Classified | Computer Vision | Computer Vision and Multimedia Computation | Information and Computing Sciences | Image Processing | RGB-D | camera trajectory | deformation | non-rigid | skeleton | synthetic data |

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