Monocular template-based reconstruction of inextensible surfaces

Mathieu Perriollat, Richard Hartley, Adrien Bartoli*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    77 Citations (Scopus)

    Abstract

    We present a monocular 3D reconstruction algorithm for inextensible deformable surfaces. It uses point correspondences between a single image of the deformed surface taken by a camera with known intrinsic parameters and a template. The main assumption we make is that the surface shape as seen in the template is known. Since the surface is inextensible, its deformations are isometric to the template. We exploit the distance preservation constraints to recover the 3D surface shape as seen in the image. Though the distance preservation constraints have already been investigated in the literature, we propose a new way to handle them. Spatial smoothness priors are easily incorporated, as well as temporal smoothness priors in the case of reconstruction from a video. The reconstruction can be used for 3D augmented reality purposes thanks to a fast implementation. We report results on synthetic and real data. Some of them are compared to stereo-based 3D reconstructions to demonstrate the efficiency of our method.

    Original languageEnglish
    Pages (from-to)124-137
    Number of pages14
    JournalInternational Journal of Computer Vision
    Volume95
    Issue number2
    DOIs
    Publication statusPublished - Nov 2011

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