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    3D shape estimation from silhouettes using Mean-shift

    Kim, Donghoom and Ruttle, Jonathan and Dahyot, Rozenn (2010) 3D shape estimation from silhouettes using Mean-shift. 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. ISSN 2379-190X

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    In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gaussian kernel function. Then a mean shift algorithm with an annealing scheme is used to find maximums of the probability density function and recovers the 3D surface. Experimental results show that our method is more accurate to estimate 3D surface than the Radon transform-based approach.

    Item Type: Article
    Keywords: 3D shape estimation; 3D shape recovery; 3D shape reconstruction; shape from silhouettes; mean shift;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15281
    Identification Number:
    Depositing User: Rozenn Dahyot
    Date Deposited: 19 Jan 2022 12:17
    Journal or Publication Title: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing
    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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