000			02154nam a2200337 i 4500
001			CR9781316882641
003			UkCbUP
005			20240730160755.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			160617s2017||||enk o ||1 0|eng|d
020			_a9781316882641 (ebook)
020			_z9781107184886 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aTA1632 _b.S69 2017
082	0	4	_a621.367 _223
100	1		_aSnyder, Wesley E., _eauthor. _974637
245	1	0	_aFundamentals of computer vision / _cWesley E. Snyder, Hairong Qi.
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (xiv, 377 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 24 Oct 2017).
520			_aComputer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications.
650		0	_aImage processing _xDigital techniques. _94145
700	1		_aQi, Hairong, _d1970- _eauthor. _974638
776	0	8	_iPrint version: _z9781107184886
856	4	0	_uhttps://doi.org/10.1017/9781316882641
942			_cEBK
999			_c84192 _d84192