Discriminative Feature-to-Point Matching in Image-Based Localization

  title={Discriminative Feature-to-Point Matching in Image-Based Localization},
  author={Michael Donoser and Dieter Schmalstieg},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
The prevalent approach to image-based localization is matching interest points detected in the query image to a sparse 3D point cloud representing the known world. The obtained correspondences are then used to recover a precise camera pose. The state-of-the-art in this field often ignores the availability of a set of 2D descriptors per 3D point, for example by representing each 3D point by only its centroid. In this paper we demonstrate that these sets contain useful information that can be… CONTINUE READING
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Relations between two sets of variates

  • H. Hotelling
  • Biometrika, 28:312–377,
  • 1936
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