The author presents a vision model that uses color information to interpret the effects of shading and highlights on a scene. Transcending more traditional approaches, this method may lead to more reliable and useful techniques for image understanding.
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Gudrun Klinker
One of the goals in the field of artificial intelligence is to develop automatic systems to dynamically gather and interpret information from a complex environment. By developing devices that can "sense" as well as living organisms, researchers come that much closer to creating computers with reactions comparable to that of humans. A major subset in this study of sensory input is computer vision where image understanding involves interpreting two-dimensional objects as projections of three-dimensional scenes. Due to the information lost in the projection process, computer vision has not yet succeeded in deriving an appropriate description of an image's surface and illumination properties. A Physical Approach to Color Image Understanding overcomes this problem by presenting a computer vision model that uses color information to interpret the effects of shading and highlighting in a scene. When combined with a camera model, the description of physically feasible color changes on one object can guide an algorithm in interpreting color images. The algorithm finds characteristic color clusters in the image and relates their shape to hypotheses about the object color and degree of shading, as well as the strength, position, and color of the highlights on the object. The physics-based approach of this book may lead to more reliable and useful methods of image understanding than are currently available from more traditional approaches.
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Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: Very Good. A Physical Approach to Color Image Understanding This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9781568810133
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Hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Artikel-Nr. 6545-9781568810133
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Zustand: Very Good. some shelf wear but the content good throughout. Artikel-Nr. 128228
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Zustand: New. Offers a model for computer vision that uses color information to interpret the effects of shading and highlighting as three-dimensional shapes. The algorithm finds characteristic color clusters in the two-dimensional image, and relates their shape to hypotheses about the object's color and degree o Editor(s): Klinker, Gudrun. Num Pages: 192 pages, figs.(some col.).tabs. BIC Classification: UYQP; UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 152 x 18. Weight in Grams: 226. . 1993. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781568810133
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Gebunden. Zustand: New. Gudrun KlinkerThe author presents a vision model that uses color information to interpret the effects of shading and highlights on a scene. Transcending more traditional approaches, this method may lead to more reliable and useful techniques for image u. Artikel-Nr. 596327936
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Hardcover. Zustand: Brand New. 192 pages. 9.50x6.25x0.75 inches. In Stock. Artikel-Nr. x-156881013X
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Artikel-Nr. 481034/202
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