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Titlebook: Advances in Computer Vision; Franc Solina,Walter G. Kropatsch,Ruzena Bajcsy Conference proceedings 1997 Springer-Verlag/Wien 1997 Hough tr

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https://doi.org/10.1007/978-3-322-84917-5ng problem on an imaging plane to a peak search problem in an accumulator space using the voting procedure. Although the Hough transform provides a method for line detection, this transform can not detect line segments. For the detection of line segments, it is necessary to detect both endpoints of
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https://doi.org/10.1007/978-3-642-48835-1lready studied are edges due to luminance variations. After a brief introduction to classical edge-detectors, we introduce another class of edges, the “subjective contours”. We assume end-points as textons as proposed by B. Julesz [7] and D. Marr [11]. The first step of our algorithm consists in geo
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https://doi.org/10.1007/978-3-322-88823-5. Most of the known models take account of only pairwise pixel interactions. These models, studied in general form by Dobrushin [11], Averintsev [1], and Besag [3], were first applied to the images by Cross and Jain [9], Hassner and Sklansky [23], Lebedev et al. [25], Derin et al. [10], Geman and Ge
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Kommunikationstechnisches Teilkonzept,his book is considered by many in the field of computer vision as the main work of these last fifteen years. Indeed, Marr was the first to propose a complete methodology for computer vision which became known as the Marr paradigm. Considering vision as an information-processing system and a system a
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Technologischer Wandel in der Produktion,ding points in the left and in the right image, referred to as the correspondence problem. Whenever the corresponding points are determined, the depth can be computed by triangulation. Although, more than 300 papers have been published dealing with stereo vision this technique still suffers from a l
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