000 | 03151nam a2200505 i 4500 | ||
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001 | 6267349 | ||
003 | IEEE | ||
005 | 20190220121646.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151228s1979 maua ob 001 eng d | ||
010 | _z 78021092 (print) | ||
020 |
_a9780262257121 _qelectronic |
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020 |
_z026221007X _qprint |
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020 |
_z9780262710114 _qprint |
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035 | _a(CaBNVSL)mat06267349 | ||
035 | _a(IDAMS)0b000064818b4337 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aBF241 _b.U43 1979eb |
|
082 | 0 | 0 | _a152.1/425 |
100 | 1 |
_aUllman, Shimon, _eauthor. |
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245 | 1 | 4 |
_aThe interpretation of visual motion / _cShimon Ullman. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc1979. |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1979] |
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300 |
_a1 PDF (229 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. 216-226). | ||
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aThis book uses the methodology of artificial intelligence to investigate the phenomena of visual motion perception: how the visual system constructs descriptions of the environment in terms of objects, their three-dimensional shape, and their motion through space, on the basis of the changing image that reaches the eye. The author has analyzed the computations performed in the course of visual motion analysis. Workable schemes able to perform certain tasks performed by the visual system have been constructed and used as vehicles for investigating the problems faced by the visual system and its methods for solving them.Two major problems are treated: first, the correspondence problem, which concerns the identification of image elements that represent the same object at different times, thereby maintaining the perceptual identity of the object in motion or in change. The second problem is the three-dimensional interpretation of the changing image once a correspondence has been established.The author's computational approach to visual theory makes the work unique, and it should be of interest to psychologists working in visual perception and readers interested in cognitive studies in general, as well as computer scientists interested in machine vision, theoretical neurophysiologists, and philosophers of science. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/28/2015. | ||
650 | 0 |
_aVisual perception _xData processing. |
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650 | 0 |
_aMotion perception (Vision) _xData processing. |
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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 _z9780262710114 |
830 | 0 | _aArtificial intelligence series | |
856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267349 |
999 |
_c39263 _d39263 |