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Visual Reconstruction

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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."OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge : The MIT Press., 1987

Collation

1 online resource (225 pages) :illustrations.

Language

English

ISBN/ISSN

9780262255769

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Pattern perception.

Specific Detail Info

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Statement of Responsibility

By Andrew Blake, Andrew Zisserman

Other Information

Cataloger

jemadi

Source

https://direct.mit.edu/books/book/3877/Visual-Reconstruction

Validator

jemadi

Digital Object Identifier (DOI)

DOI: https://doi.org/10.7551/mitpress/7132.001.0001

Journal Volume

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Journal Issue

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Subtitle

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