A Fuzzy Logic Algorithm for Dense Image Point Matching

We present a conceptually simple algorithm for dense image point matching between two colour images. The algorithm is based on the assumption that the topology only changes slightly between the two images. Following this assumption we use an iterative fuzzy inference process to find the likeliest image point matches. Advantages of this algorithm are that it is fundamentally parallel, it does not need any exact geometric information about the cameras and it can also give image point matches within homogeneous areas of the

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