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Titlebook: Advanced Concepts for Intelligent Vision Systems; 11th International C Jacques Blanc-Talon,Wilfried Philips,Paul Scheunde Conference procee

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Die elektrische Schlupfkupplung,nce into either foreground or background. A commonly used technique to achieve it in scenes captured by a static camera is Background Subtraction (BGS). Several BGS techniques have been proposed in the literature but a rigorous comparison that analyzes the different parameter configuration for each
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https://doi.org/10.1007/978-3-0348-5735-2 and external functions: each inner function is associated to one dimension and linearly combined to construct a hash-function that associates every point of a multidimensional space to a value of the real interval [0,1]. These intermediate values are then associated by external functions to the cor
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https://doi.org/10.1007/978-3-642-91631-1e dimensionality of the data to improve analysis, density modeling, and classification. In this paper, we present a method for dimensionality reduction in mixture models and its use in classification. For each component of the mixture, the data are projected by a linear transformation onto a lower-d
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Ernst Mickel,Paul Sommer,Heinrich Wiegandhing attributed graphs plays an important role in objects recognition. In this paper, a node signatures extraction is combined with an optimal assignment method for matching attributed graphs. In particular, we show how local descriptions are used to define a node-to-node cost in an assignment probl
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https://doi.org/10.1007/978-3-642-91113-2 referred to as exhaustive due to the fact that they optimally solve the minimization problem of the matching cost, often deploys a succession of bounding functions based on a partitioning of the template and subwindow to perform rapid and reliable detection of non-optimal candidates. In this paper
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Berechnung und Gestaltung von Gummifedernm performs a pruning of mismatching candidates based on multilevel pruning conditions and it has been shown that, under certain assumptions on the distortion between the image and the template, it is faster than the other full-search equivalent algorithms proposed so far, including algorithms based
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Berechnung und Gestaltung von Metallfederni-class image segmentation. Graph partitioning active contours GPAC is a recently introduced approach that elegantly embeds the graph-based image segmentation problem within a continuous level set-based active contour paradigm. However, GPAC similar to many other graph-based approaches has quadratic
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