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    Extrinsic camera parameters estimation for shape-from-depths

    Ruttle, Jonathan and Arellano, Claudia and Dahyot, Rozenn (2012) Extrinsic camera parameters estimation for shape-from-depths. 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). pp. 1085-1089. ISSN 2076-1465

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    3D reconstruction from multiple view images requires that camera parameters are very accurately known and standard camera calibration techniques [1] often fail to provide the required level of accuracy for the extrinsic camera parameters. Using the Kinect depth camera, we propose to estimate camera parameters by minimising the cross correlation between density functions modelled for each recorded depth images. We illustrate experimentally how this improves the modelling for estimating 3D shape from Depths.

    Item Type: Article
    Keywords: Shape-from-Silhouettes; SfS; Shape from Depths; SfD; Multiview geometry;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15269
    Depositing User: Rozenn Dahyot
    Date Deposited: 18 Jan 2022 16:21
    Journal or Publication Title: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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