A robust measure for visual correspondence

  title={A robust measure for visual correspondence},
  author={Federico Tombari and Luigi di Stefano and Stefano Mattoccia},
  journal={14th International Conference on Image Analysis and Processing (ICIAP 2007)},
In this paper a novel measure for visual correspondence is proposed, to be adopted for common computer vision tasks such as pattern matching, stereo vision, change detection. The proposed measure implicitly exploits the concept of order-preservation between neighbouring pixels and it is suitable for those cases where disturbance factors such as photometric distortions and occlusions occur between the images to be matched. Furthermore, this measure tends to be robust in presence of significant… CONTINUE READING
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