000			03385nam a22004695i 4500
001			978-0-387-73301-2
003			DE-He213
005			20250710084017.0
007			cr nn 008mamaa
008			110402s2009 xxu| s |||| 0|eng d
020			_a9780387733012 _a99780387733012
024	7		_a10.1007/978-0-387-73301-2 _2doi
100	1		_aBronstein, Alexander M. _eauthor.
245	1	0	_aNumerical Geometry of Non-Rigid Shapes _h[recurso electrónico] / _cby Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_aXXII, 346p. 10 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMonographs in Computer Science, _x0172-603X
505	0		_aA Taste of Geometry -- Discrete Geometry -- Shortest Paths and Fast Marching Methods -- Numerical Optimization -- In the Rigid Kingdom -- Multidimensional Scaling -- Spectral Embedding -- Non Euclidean Embedding -- Isometry Invariant Similarity -- Partial Similarity -- Non rigid Correspondence and Calculus of Shapes -- Three dimensional Face Recognition -- Epilogue.
520			_aDeformable objects are ubiquitous in the world surrounding us, on all levels from micro to macro. The need to study such shapes and model their behavior arises in a wide spectrum of applications, ranging from medicine to security. In recent years, non-rigid shapes have attracted growing interest, which has led to rapid development of the field, where state-of-the-art results from very different sciences - theoretical and numerical geometry, optimization, linear algebra, graph theory, machine learning and computer graphics, to mention several - are applied to find solutions. This book gives an overview of the current state of science in analysis and synthesis of non-rigid shapes. Everyday examples are used to explain concepts and to illustrate different techniques. The presentation unfolds systematically and numerous figures enrich the engaging exposition. Practice problems follow at the end of each chapter, with detailed solutions to selected problems in the appendix. A gallery of colored images enhances the text. This book will be of interest to graduate students, researchers and professionals in different fields of mathematics, computer science and engineering. It may be used for courses in computer vision, numerical geometry and geometric modeling and computer graphics or for self-study.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTER VISION.
650		0	_aCOMPUTER SCIENCE _xMATHEMATICS.
650		0	_aGEOMETRY.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aGEOMETRY.
650	2	4	_aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
700	1		_aBronstein, Michael M. _eauthor.
700	1		_aKimmel, Ron. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387733005
830		0	_aMonographs in Computer Science, _x0172-603X
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-73301-2 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c58458 _d58458