Multi-view structure computation without explicitly estimating motion

Hongdong Li*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Citations (Scopus)

    Abstract

    Most existing structure-from-motion methods follow a common two-step scheme, where relative camera motions are estimated in the first step and 3D structure is computed afterward in the second step. This paper presents a novel scheme which bypasses the motion-estimation step, and goes directly to structure computation step. By introducing graph rigidity theory to Sfm problems, we demonstrate that such a scheme is not only theoretically possible, but also technically feasible and effective. We also derive a new convex relaxation technique (based on semi-definite programming) which implements the above scheme very efficiently. Our new method provides other benefits as well, such as that it offers a new way to looking at Sfm, and that it is naturally suited for handling sparse large-scale Sfm problems.

    Original languageEnglish
    Title of host publication2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
    Pages2777-2784
    Number of pages8
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 - San Francisco, CA, United States
    Duration: 13 Jun 201018 Jun 2010

    Publication series

    NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    ISSN (Print)1063-6919

    Conference

    Conference2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
    Country/TerritoryUnited States
    CitySan Francisco, CA
    Period13/06/1018/06/10

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