Fuzzy Logic Supported Point Correspondence Matching for 3 D Reconstruction

In computer vision image point correspondence matching plays an important role. With the help of such algorithms for example several techniques concerning the field of stereo vision can be automatized. This paper presents a new method for the quick and reliable selecting and matching of the most interesting image points (feature points). The method combines the ideas of area based and feature based stereo techniques and applies fuzzy reasoning, as well.

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