Performance Evaluation of Robust Matching Measures

  title={Performance Evaluation of Robust Matching Measures},
  author={Federico Tombari and Luigi di Stefano and Stefano Mattoccia and Angelo Galanti},
This paper is aimed at evaluating the performances of different measures which have been proposed in literature for robust matching. In particular, classical matching metrics typically employed for this task are considered together with specific approaches aiming at achieving robustness. The main aspects assessed by the proposed evaluation are robustness with respect to photometric distortions, noise and occluded patterns. Specific datasets have been used for testing, which provide a very… CONTINUE READING
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