000			03146nam a22005055i 4500
001			978-1-4419-6679-7
003			DE-He213
005			20170628033553.0
007			cr nn 008mamaa
008			100715s2010 xxu| s |||| 0|eng d
020			_a9781441966797 _9978-1-4419-6679-7
024	7		_a10.1007/978-1-4419-6679-7 _2doi
050		4	_aT385
050		4	_aTA1637-1638
050		4	_aTK7882.P3
072		7	_aUYQV _2bicssc
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.6 _223
100	1		_aQuan, Long. _eauthor.
245	1	0	_aImage-Based Modeling _h[electronic resource] / _cby Long Quan.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aXVIII, 251 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aGeometry: fundamentals of multi-view geometry -- Geometry prerequisite -- Multi-view geometry -- Computation: from pixels to 3D points -- Feature point -- Structure from Motion -- Modeling: from 3D points to objects -- Surface modeling -- Hair modeling -- Tree modeling -- Façade modeling -- Building modeling.
520			_a“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University About this book: The computer vision and graphics communities use different terminologies for the same ideas This books provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa Independence of chapters allows readers to directly jump into a specific chapter of interest Compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry. About the Author: Long Quan is a Professor of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a Ph.D. degree in Computer Science from INRIA, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society.
650		0	_aComputer science.
650		0	_aComputer vision.
650		0	_aComputer graphics.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aComputer Graphics.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aPattern Recognition.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441966780
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-6679-7
912			_aZDB-2-SCS
999			_c15806 _d15806