Titlebook: Computer Analysis of Images and Patterns; 17th International C Michael Felsberg,Anders Heyden,Norbert Krüger Conference proceedings 2017 Sp

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https://doi.org/10.1007/978-3-030-28535-7exclusively based on two complementary low-level features: gradient-based and color-based features. On the first hand, we compute a Generalized Hough Transform, indexed by gradient orientation. On the second hand, a RGB color histogram is used as a global rotation-invariant model. These two parts ar

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Maria-Emilia Caballero,Alain Rouault equipment. The great challenge of such interfaces is text entry. Most existing approaches are based on camera mouse where the on-screen keyboard is operated by the pointer controlled with head movements. Movements of the head are also employed to cycle through keys or their groups to access the int

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https://doi.org/10.1007/978-3-030-96409-2h tracking and modelling local movement leading to the segmentation of moving regions. Interactions between moving regions are modelled using Kullback-Leibler (KL) divergence. Then the statistics of such movement interactions or as relative positions of moving regions is represented using kernel den

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ensemble

https://doi.org/10.1007/BFb0059457ation of blood vessels, to remote sensing for the identification of roads and rivers, and to biometrics and robotics, among others. This is a nontrivial task especially for the detection of thin or incomplete curvilinear structures surrounded with noise. We propose a general purpose curvilinear stru

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