Monocular template-based 3d reconstruction of extensible surfaces with local linear elasticity

Abed Malti, Richard Hartley, Adrien Bartoli, Jae Hak Kim

    Research output: Contribution to journalConference articlepeer-review

    48 Citations (Scopus)

    Abstract

    We propose a new approach for template-based extensible surface reconstruction from a single view. We extend the method of isometric surface reconstruction and more recent work on conformal surface reconstruction. Our approach relies on the minimization of a proposed stretching energy formalized with respect to the Poisson ratio parameter of the surface. We derive a patch-based formulation of this stretching energy by assuming local linear elasticity. This formulation unifies geometrical and mechanical constraints in a single energy term. We prevent local scale ambiguities by imposing a set of fixed boundary 3D points. We experimentally prove the sufficiency of this set of boundary points and demonstrate the effectiveness of our approach on different developable and non-developable surfaces with a wide range of extensibility.

    Original languageEnglish
    Article number6619044
    Pages (from-to)1522-1529
    Number of pages8
    JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
    DOIs
    Publication statusPublished - 2013
    Event26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States
    Duration: 23 Jun 201328 Jun 2013

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