Surface Reconstruction from Sparse Features

This paper describes an approach to recovering surface models of complex scenes from the quasi-sparse data returned by a feature based stereo system. The method can be used to merge stereo results obtained from different viewpoints into a single coherent surface mesh. The technique proceeds by exploiting the freespace theorem which provides a principled mechanism for reasoning about the structure of the scene based on quasi-sparse correspondences in multiple image. Effective methods for overcoming the difficulties posed by missing features and outliers are discussed. Results obtained by applying this approach to actual images are presented.

Image Sparse Points Movies

Poster of Project

Related Publications

  • Surface Reconstruction from Feature Based Stereo
    C. J. Taylor
    International Conference on Computer Vision, Vol: 1, Pgs: 184-190, 2003
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