Accurate, Dense, and Robust Multiview Stereopsis

  title={Accurate, Dense, and Robust Multiview Stereopsis},
  author={Yasutaka Furukawa and Jean Ponce},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
This paper proposes a novel algorithm for multiview stereopsis that outputs a dense set of small rectangular patches covering the surfaces visible in the images. Stereopsis is implemented as a match, expand, and filter procedure, starting from a sparse set of matched keypoints, and repeatedly expanding these before using visibility constraints to filter away false matches. The keys to the performance of the proposed algorithm are effective techniques for enforcing local photometric consistency… CONTINUE READING
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