The problem of feature points matching between pair of views of the scene is one of the key problems in computer vision, because of the number of applications, In this paper we discuss an alternative version of an SVD matching algorithm earlier proposed in the literature. In the version proposed the original algorithm has been modified for coping with large baselines, The claim of improved performances for larger baselines is supported by experimental evidence.
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