Dense matching using correlation: new measures that are robust near occlusions
نویسندگان
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.
منابع مشابه
Sylvie Chambon
Second, we set up an evaluation and comparison protocol based on fourteen image pairs, five evaluation areas and ten criteria. This protocol also provides disparity, ambiguity, inaccuracy and correct disparity maps. This protocol enables us to study the behavior of the methods we proposed. Third, forty correlation measures are classified into five families: cross-correlationbased measures, clas...
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