Synopsis
"Visual Reconstruction" presents a unified and highly original approach to the treatment of continuity in vision. It introduces, analyzes, and illustrates two new concepts. The first - the weak continuity constraint - is a concise, computational formalization of piecewise continuity. It is a mechanism for expressing the expectation that visual quantities such as intensity, surface color, and surface depth vary continuously almost everywhere, but with occasional abrupt changes. The second concept - the graduated nonconvexity algorithm - arises naturally from the first. It is an efficient, deterministic (nonrandom) algorithm for fitting piecewise continuous functions to visual data.The book first illustrates the breadth of application of reconstruction processes in vision with results that the authors' theory and program yield for a variety of problems. The mathematics of weak continuity and the graduated nonconvexity (GNC) algorithm are then developed carefully and progressively.Contents: Modeling Piecewise Continuity. Applications of Piecewise Continuous Reconstruction. Introducing Weak Continuity Constraints. Properties of the Weak String and Membrane. Properties of Weak Rod and Plate. The Discrete Problem. The Graduated Nonconvexity (GNC) Algorithm. Appendixes: Energy Calculations for the String and Membrane. Noise Performance of the Weak Elastic String. Energy Calculations for the Rod and Plate. Establishing Convexity. Analysis of the GNC Algorithm.Both authors are in the Department of Computer Science at the University of Edinburgh. Andrew Blake is Lecturer and a Royal Society IBM Research Fellow. Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow. "Visual Reconstruction" is included in the Artificial Intelligence series, edited by Michael Brady and Patrick Winston.
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About the Author
Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.
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Visual Reconstruction
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Visual Reconstruction
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Visual Reconstruction
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Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:0262022710. Seller Inventory # 8613428
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Visual Reconstruction
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The MIT Press, Cambridge, MA, 1987
ISBN 10: 0262022710
ISBN 13: 9780262022712
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Hardcover. Condition: Very Good. Dust jacket has edge wear, edge tears, and minor chipping and is in Good+ condition. Book itself is gently used with some minor wear and is in Very Good condition. Tightly bound copy with clean interior having no markings, writing, underlining, or highlighting in margins or text block. Inv. # 11546. Seller Inventory # 011546
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Visual Reconstruction (Artificial Intelligence)
Seller: Lavendier Books, Foster, RI, U.S.A.
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hardcover. Condition: Very Good. The MIT Press; Cambridge, 1987. Hardcover. Review Copy with review slip laid in. A Very Good, black cloth binding with red lettering on spine, binding sturdy and intact, some handling/scuffing to boards, crimping to spine edges, bit cocked, some age toning to pages, ink check mark top front free endpaper, in a Good to Very Good, some handling/scuff marks to panels, bit of edge/corner wear, 1-inch tear top front panel near spine clear taped on verso, large tear and crease top rear panel and top rear flap also clear taped on verso, Dust wrapper. A nice and overall clean copy. 8vo[octavo or approx. 6 x 9 inches]. 225pp., glossary, indexed. We pack securely and ship daily with delivery confirmation on every book. Please Note: Depending on site, actual book for sale may differ physically from picture listed. Additional scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book. Seller Inventory # SKU1043872