Accurate multi-view reconstruction using robust binocular stereo and surface meshing

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.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Derek Bradley, Tamy Boubekeur, Wolfgang Heidrich
• Keywords: Adaptive Point-based Filtering, Computer Vision, CVPR 2008, Efficient Method, Merged Point Clouds, Robust Binocular Stereo, Scaled-window Matching Technique