Combination of Correlation Measures for Dense Stereo Matching
نویسندگان
چکیده
In the context of dense stereo matching of pixels, we study the combination of different correlation measures. Considering the previous work about correlation measures, we use some measures that are the most significant in five kinds of measures based on: cross-correlation, classic statistics, image derivatives, nonparametric statistics and robust statistics. More precisely, this study validates the possible improvement of stereo-matching by combining complementary correlation measures and it also highlights the two measures that can be combined in order to take advantage of the different methods: Gradient Correlation measure (GC) and Smooth Median Absolute Deviation measure (SMAD). Finally, we introduce an algorithm of fusion that allows to combine automatically correlation measures.
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