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Synthetic Data for Non-rigid 3D Reconstruction using a Moving RGB-D Camera

Commonwealth Scientific and Industrial Research Organisation
Elanattil, Shafeeq ; Moghadam, Peyman
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5b7b60176d0cd&rft.title=Synthetic Data for Non-rigid 3D Reconstruction using a Moving RGB-D Camera&rft.identifier=https://doi.org/10.25919/5b7b60176d0cd&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=We introduce a synthetic dataset for evaluating no-rigid 3D reconstruction using a moving RGB-D camera. The dataset consist of two subjects captured with four different camera trajectories. For each case we provide frame-by-frame ground truth geometry of the scene, the camera trajectory and foreground mask. This synthetic data was a part of paper Non-rigid reconstruction with a single moving RGB-D camera published at ICPR 2018. If you are using this dataset please cite the paper and this collection. More information can be found at the supporting documents. &rft.creator=Elanattil, Shafeeq &rft.creator=Moghadam, Peyman &rft.date=2018&rft.edition=v2&rft.relation=https://arxiv.org/abs/1805.11219&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2018.&rft_subject=RGB-D&rft_subject=3D reconstruction&rft_subject=synthetic data&rft_subject=non-rigid&rft_subject=deformation&rft_subject=camera trajectory&rft_subject=Computer vision&rft_subject=Computer vision and multimedia computation&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft.type=dataset&rft.language=English Access the data
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We introduce a synthetic dataset for evaluating no-rigid 3D reconstruction using a moving RGB-D camera. The dataset consist of two subjects captured with four different camera trajectories. For each case we provide frame-by-frame ground truth geometry of the scene, the camera trajectory and foreground mask. This synthetic data was a part of paper "Non-rigid reconstruction with a single moving RGB-D camera" published at ICPR 2018. If you are using this dataset please cite the paper and this collection. More information can be found at the supporting documents.

Available: 2018-09-13

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Subjects
3D reconstruction | Computer Vision | Computer Vision and Multimedia Computation | Information and Computing Sciences | RGB-D | camera trajectory | deformation | non-rigid | synthetic data |

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Identifiers
ACN 633 798 857