Image matching in large scale indoor environment

  title={Image matching in large scale indoor environment},
  author={Hongwen Kang and Alexei A. Efros and Martial Hebert and Takeo Kanade},
  journal={2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
In this paper, we propose a data driven approach to first-person vision. We propose a novel image matching algorithm, named Re-Search, that is designed to cope with self-repetitive structures and confusing patterns in the indoor environment. This algorithm uses state-of-art image search techniques, and it matches a query image with a two-pass strategy. In the first pass, a conventional image search algorithm is used to search for a small number of images that are most similar to the query image… CONTINUE READING
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