000			04592nam a22004935i 4500
001			978-0-85729-046-5
003			DE-He213
005			20251006084442.0
007			cr nn 008mamaa
008			101029s2011 xxk| s |||| 0|eng d
020			_a9780857290465
020			_a99780857290465
024	7		_a10.1007/978-0-85729-046-5 _2doi
082	0	4	_a006.6 _223
082	0	4	_a006.37 _223
100	1		_aWang, Guanghui. _eauthor.
245	1	0	_aGuide to Three Dimensional Structure and Motion Factorization _h[electronic resource] / _cby Guanghui Wang, Q. M. Jonathan Wu.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2011.
300			_aXIV, 214 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Pattern Recognition, _x2191-6586
505	0		_aIntroduction to 3D Computer Vision -- Simplified Camera Projection Models -- Geometrical Properties of Quasi-Perspective Projection -- Introduction to Structure and Motion Factorization -- Perspective 3D Reconstruction of Rigid Objects -- Perspective 3D Reconstruction of Nonrigid Objects -- Rotation Constrained Power Factorization -- Stratified Euclidean Reconstruction -- Quasi-Perspective Factorization.
520			_aThe problem of structure and motion recovery from image sequences is an important theme in computer vision. Considerable progress has been made in this field during the past two decades, resulting in successful applications in robot navigation, augmented reality, industrial inspection, medical image analysis, and digital entertainment, among other areas. However, many of these methods work only for rigid objects and static scenes. The study of non-rigid structure from motion is not only of academic significance, but also has important practical applications in real-world, nonrigid or dynamic scenarios, such as human facial expressions and moving vehicles. This practical guide/reference provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The book discusses the latest research in this field, including the extension of the factorization algorithm to recover the structure of non-rigid objects, and presents some new algorithms developed by the authors. Readers require no significant knowledge of computer vision, although some background on projective geometry and matrix computation would be beneficial. Topics and features: Presents the first systematic study of structure and motion recovery of both rigid and non-rigid objects from images sequences Discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision Examines numerous factorization algorithms, covering affine, perspective and quasi-perspective projection models Provides appendices describing the mathematical principles behind projective geometry, matrix decomposition, least squares, and nonlinear estimation techniques Includes chapter-ending review questions, and a glossary of terms used in the book This unique text offers practical guidance in real applications and implementations of 3D modeling systems for practitioners in computer vision and pattern recognition, as well as serving as an invaluable source of new algorithms and methodologies for structure and motion recovery for graduate students and researchers. Dr. Guanghui Wang is a Research Fellow at the Department of Systems Design Engineering at the University of Waterloo, Ontario, Canada. Dr. Jonathan Wu is Professor of Automotive Sensors and Sensing Systems at the Department of Electrical and Computer Engineering at the University of Windsor, Ontario, Canada.
650		0	_aCOMPUTER SCIENCE.
650		0	_aMULTIMEDIA SYSTEMS.
650		0	_aARTIFICIAL INTELLIGENCE.
650		0	_aCOMPUTER VISION.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aMULTIMEDIA INFORMATION SYSTEMS.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
700	1		_aWu, Q. M. Jonathan. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857290458
830		0	_aAdvances in Pattern Recognition, _x2191-6586
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-85729-046-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c59927 _d59927