Dense matching using correlation: new measures that are robust near occlusions

نویسندگان

  • Sylvie Chambon
  • Alain Crouzil
چکیده

In the context of computer vision, matching can be done using correlation measures. This paper presents the classification of fifty measures into five families. In addition, eighteen new measures based on robust statistics are presented to deal with the problem of occlusions. An evaluation protocol is proposed and the results show that robust measures (one of the five families), including the new measures, give the best results near occlusions.

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تاریخ انتشار 2003