Titlebook: Scale Space Methods in Computer Vision; 4th International Co Lewis D. Griffin,Martin Lillholm Conference proceedings 2003 Springer-Verlag B

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A Generalized Discrete Scale-Space Formulation for 2-D and 3-D Signalsque framework for visual front-end processes. In practice, a higher dimensional DSS formulation is necessary since higher dimensional discrete signals must be dealt with. In this paper, first we examine the approximation fidelity of the commonly used sampled Gaussian. Second, we propose a generalize

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A Scale Space for Contour Registration Using Minimal Surfacesonal contours into two parallel planes separated in three-dimensional space. The minimal surface is then computed between the two contours via mean curvature flow. We then evolve the rigid registration of one of the two contours which in turn changes the minimal surface. Mean curvature flow of the s

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The Extrema Edgesvaluation. The first part is based on the theory of minimal paths, where the selection of an energy and a set of sources determines a partition of the domain. Then, the valuation is obtained by the creation of a contrast driven hierarchy of partitions. The method uses only the original image and sup

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The Maximum Principle for Beltrami Color Flow schemes. We discuss, in the continuous case, the theoretical properties of this system and prove the maximum principle in the strong and the weak formulations. In the discrete case, all the second order explicit schemes, that are currently used, violate, in general, the maximum principle. For these

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