Template-free 3D Reconstruction of Poorly-textured Nonrigid Surfaces

Two main classes of approaches have been studied to perform monocular nonrigid 3D reconstruction: Template-based methods and Non-rigid Structure from Motion techniques. While the first ones have been applied to reconstruct poorly-textured surfaces, they assume the availability of a 3D shape model prior to reconstruction. By contrast, the second ones do not require such a shape template, but, instead, rely on points being tracked throughout a video sequence, and are thus illsuited to handle poorly-textured surfaces. In this paper, we introduce a template-free approach to reconstructing a poorly-textured, deformable surface. To this end, we leverage surface isometry and formulate 3D reconstruction as the joint problem of non-rigid image registration and depth estimation. Our experiments demonstrate that our approach yields much more accurate 3D reconstructions than state-of-the-art techniques.


Published in:
Computer Vision - Eccv 2016, Pt Vii, 9911, 648-663
Presented at:
European Conference on Computer Vision (ECCV), Amsterdam
Year:
2016
Publisher:
Cham, Springer Int Publishing Ag
ISSN:
0302-9743
ISBN:
978-3-319-46478-7
978-3-319-46477-0
Keywords:
Laboratories:




 Record created 2016-09-05, last modified 2018-09-13

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