Articles liés à Mathematical Methods in Computer Vision
Synopsis
This volume contains papers presented at two successful workshops integral to the IMA annual program on Mathematics in Multimedia, 2000- 2001: Image Processing and Low Level Vision, and Image Analysis and High Level Vision.
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Mathematical Methods in Computer Vision.
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New York, Springer., 2003
ISBN 10 : 0387004971
ISBN 13 : 9780387004976
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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Vol. 133. 86 figs., XI, 153 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. IMA Volumes in Mathematics and its Applications, Vol. 133. Sprache: Englisch. N° de réf. du vendeur 679GB
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Mathematical methods in computer vision.
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New York [u.a.] : Springer, 2003
ISBN 10 : 0387004971
ISBN 13 : 9780387004976
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Vendeur : Versandantiquariat Ingo Lutter, Buchholz, Allemagne
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Hardcover. Buch hat leichte Gebrauchs spuren ( Lese spuren ) Kanten leicht bestoßen 236 Englisch 400g. N° de réf. du vendeur 45399
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Mathematical Methods in Computer Vision
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Etat : Brand New. New. US edition. Excellent Customer Service. N° de réf. du vendeur ABEOCT25-80131
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Mathematical Methods in Computer Vision
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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-88111
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Mathematical Methods in Computer Vision
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Etat : New. pp. 172. N° de réf. du vendeur 26280718
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Mathematical Methods in Computer Vision
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Etat : New. pp. 172 86 Illus. N° de réf. du vendeur 7599953
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Mathematical Methods in Computer Vision
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. pp. 172. N° de réf. du vendeur 18280708
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Mathematical Methods in Computer Vision (The IMA Volumes in Mathematics and its Applications, 133)
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Mathematical Methods in Computer Vision
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Mathematical Methods in Computer Vision (Hardcover)
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Springer-Verlag New York Inc., New York, NY, 2003
ISBN 10 : 0387004971
ISBN 13 : 9780387004976
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Hardcover. Etat : new. Hardcover. This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objects-including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area.Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction. A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others. Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780387004976
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