| 000 | 03449nam a2200517 i 4500 | ||
|---|---|---|---|
| 001 | 6267223 | ||
| 003 | IEEE | ||
| 005 | 20220712204603.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151228s2003 maua ob 001 eng d | ||
| 010 | _z 87004079 (print) | ||
| 020 |
_a9780262255769 _qelectronic |
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| 020 |
_z0262022710 _qprint |
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| 020 |
_z9780262524063 _qprint |
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| 035 | _a(CaBNVSL)mat06267223 | ||
| 035 | _a(IDAMS)0b000064818b41a1 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQ327 _b.B53 1987eb |
|
| 082 | 0 |
_a001.53/4 _219 |
|
| 100 | 1 |
_aBlake, Andrew, _d1956- _921603 |
|
| 245 | 1 | 0 |
_aVisual reconstruction / _cAndrew Blake and Andrew Zisserman. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc1987. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2003] |
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| 300 |
_a1 PDF (225 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aArtificial intelligence series | |
| 500 | _aIncludes index. | ||
| 504 | _aIncludes bibliographical references (p. )[173]-181. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aVisual 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. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/28/2015. | ||
| 650 | 0 |
_aPattern perception. _96089 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 700 | 1 |
_aZisserman, Andrew. _921604 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _921605 |
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| 710 | 2 |
_aMIT Press, _epublisher. _921606 |
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| 776 | 0 | 8 |
_iPrint version _z9780262524063 |
| 830 | 0 |
_aArtificial intelligence series _921607 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267223 |
| 942 | _cEBK | ||
| 999 |
_c72881 _d72881 |
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