000			02084cam a22002895i 4500
003			EG-CaNGU
005			20241009125007.0
008			230829t2014 enka fob 001 0 eng d
020			_a9781447163206
040			_aBTCTA _beng _cBTCTA _erda _dYDXCP _dOCLCO _dCIT _dDEBBG _dOCLCF _dDLC _dEG-CaNGU
100	1		_aKlette, Reinhard, _eauthor. _95569
245	1	0	_aConcise computer vision : _ban introduction into theory and algorithms /
264		1	_aLondon, England : _bSpringer-Verlag, Springer, _c[2014]
264		4	_c©2014
300			_a1 online resource (xviii, 429 pages) : _billustrations.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aUndergraduate topics in computer science, _x2197-1781
504			_aIncludes bibliographical references and indexes.
505	0	0	_aImage data -- Image processing -- Image analysis -- Dense motion analysis -- Image segmentation -- Cameras, coordinates, and calibration -- 3D shape reconstruction -- Stereo matching -- Feature detection and tracking -- Object detection.
520			_a"Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme." -- _cProvided by publisher.
650		7	_aPattern recognition systems. _2NGU-sh _94838
650		7	_aComputer algorithms. _2NGU-sh _93907
655		7	_aElectronic books _2NGU-sh _91203
856	4	0	_aOnline resource. _uhttps://link.springer.com/book/10.1007/978-1-4471-6320-6 _zOnline resource.
999			_c1937 _d1937