| 000 | 02911nam a2200469 i 4500 | ||
|---|---|---|---|
| 001 | 6267368 | ||
| 003 | IEEE | ||
| 005 | 20190220121646.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2002 maua ob 001 eng d | ||
| 020 |
_a9780262267090 _qebook |
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| 020 |
_z0262267098 _qelectronic |
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| 020 |
_z9780585446301 _qelectronic |
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| 020 |
_z058544630X _qelectronic |
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| 020 |
_z9780262011945 _qprint |
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| 035 | _a(CaBNVSL)mat06267368 | ||
| 035 | _a(IDAMS)0b000064818b4372 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aTA1634 _b.A45 2002eb |
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| 100 | 1 |
_aAmit, Yali, _eauthor. |
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| 245 | 1 | 0 |
_a2D object detection and recognition : _bmodels, algorithms, and networks / _cYali Amit. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2002. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2002] |
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| 300 |
_a1 PDF (xiv, 306 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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| 504 | _aIncludes bibliographical references (p. [287]-297) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aTwo important subproblems of computer vision are the detection and recognition of 2D objects in gray-level images. This book discusses the construction and training of models, computational approaches to efficient implementation, and parallel implementations in biologically plausible neural network architectures. The approach is based on statistical modeling and estimation, with an emphasis on simplicity, transparency, and computational efficiency.The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization. Each model is defined in terms of a subset of points on a reference grid (the template), a set of admissible instantiations of these points (deformations), and a statistical model for the data given a particular instantiation of the object present in the image. A recurring theme is a coarse to fine approach to the solution of vision problems. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 | _aComputer vision. | |
| 650 | 7 |
_aCOMPUTERS _xComputer Vision & Pattern Recognition. _2bisacsh |
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| 655 | 0 | _aElectronic books. | |
| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. |
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| 710 | 2 |
_aMIT Press, _epublisher. |
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| 776 | 0 | 8 |
_iPrint version _z9780262011945 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267368 |
| 999 |
_c39282 _d39282 |
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