Fusion of intensity and feature based analysis for matching of corresponding points

This paper is concerned with the identification of corresponding points in curves related together, as time series, or in epipolar lines of stereo images. The properties of the corresponding points are defined by the near neighbourhood but also further points which are related to the corresponding point. Filtering with special non-linearities is applied to suppress non-relevant information and to find interrelations. For this the curves are represented by non-linear stochastic differential equations. The properties of the curves are obtained by the estimation of the expectation values of these stochastic equations and represented by different fuzzy measures. The corresponding points are determined by fusion of information obtained from different properties related to a special corresponding point with the help of fuzzy integrals. Using filtering and fuzzy integration of properties, feature and intensity based methods are combined.