Visual reconstruction / Andrew Blake and Andrew Zisserman.

Format:

Book

Author/Creator:

Blake, Andrew, 1956-

Contributor:

Zisserman, Andrew.

Series:

The MIT Press series in artificial intelligence

Language:

English

Subjects (All):

Pattern perception.

Physical Description:

1 online resource (225 pages) : illustrations.

Place of Publication:

Cambridge, Mass. : MIT Press, ©1987.

Language Note:

English

Summary:

"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."

Notes:

Bibliographic Level Mode of Issuance: Monograph

OCLC-licensed vendor bibliographic record.

OCLC:

827012351