Visual reconstruction / (Record no. 72881)

000 -LEADER
fixed length control field 03449nam a2200517 i 4500
001 - CONTROL NUMBER
control field 6267223
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204603.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151228s2003 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262255769
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
082 0# - CLASSIFICATION NUMBER
Call Number 001.53/4
100 1# - AUTHOR NAME
Author Blake, Andrew,
245 10 - TITLE STATEMENT
Title Visual reconstruction /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (225 pages) :
490 1# - SERIES STATEMENT
Series statement Artificial intelligence series
500 ## - GENERAL NOTE
Remark 1 Includes index.
520 ## - SUMMARY, ETC.
Summary, etc 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.Visual Reconstruction is included in the Artificial Intelligence series, edited by Michael Brady and Patrick Winston.
700 1# - AUTHOR 2
Author 2 Zisserman, Andrew.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267223
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c1987.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2003]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/28/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern perception.

No items available.