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Accurate Multi-View Reconstruction
Using Robust Binocular Stereo and Surface Meshing
Derek Bradley, Tamy Boubekeur, Wolfgang Heidrich
CVPR 2008 - Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Abstract
This paper presents a new algorithm for multi-view reconstruction that
demonstrates both accuracy and efficiency. Our method is based on
robust binocular stereo matching, followed by adaptive point-based
filtering of the merged point clouds, and efficient, high-quality mesh
generation. All aspects of our method are designed to be highly
scalable with the number of views.
Our technique produces the most accurate results among current
algorithms for a sparse number of viewpoints according to the Middlebury datasets. Additionally, we prove to be the most efficient
method among non-GPU algorithms for the same datasets. Finally, our
scaled-window matching technique also excels at reconstructing
deformable objects with high-curvature surfaces, which we demonstrate
with a number of examples.
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Go to the project page: Accurate Multi-View Reconstruction
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Binocular stereo with Scaled Window Matching
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General workflow for surface meshing.
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Accurate geometry reconstruction.
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