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Matching in Catadioptric Images with Appropriate Windows and Outliers Removal

T. Svoboda and T. Pajdla
Proc. of the 9th International Conference on Computer Analysis of Images and Patterns (CAIP'01)
Warsaw, Poland, September 2001

Abstract

Active matching windows for matching in panoramic images taken by a catadioptric camera are proposed. The shape and the size of the windows vary depending on the position of an interest point. The windows size is then normalized and a standard correlation is used for measuring similarities of the points. A semi-iterative method based on sorting correspondences according to their similarity is suggested to remove possible outliers. It is experimentally shown that using this method the matching is successful for small and also big displacement of corresponding points.


Download in postscript format
@InProceedings{eth_biwi_00233,
  author = {T. Svoboda and T. Pajdla},
  title = {Matching in Catadioptric Images with Appropriate Windows and Outliers Removal},
  booktitle = {Proc. of the 9th International Conference on Computer Analysis of Images and Patterns (CAIP'01)},
  year = {2001},
  month = {September},
  pages = {733-740},
  editor = {W. Skarbek},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  keywords = {image matching, robust matching, outliers removal, catadioptric images, omnidirectional vision, panoramic vision, epipolar geometry}
}