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001			278248
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008			150903s2009 xxu| o |||| 0|eng d
020			_a9780387733012 _99780387733012
024	7		_a10.1007/9780387733012 _2doi
035			_avtls000332360
039		9	_a201509030736 _bVLOAD _c201404122122 _dVLOAD _c201404091853 _dVLOAD _y201402041027 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aBronstein, Alexander M. _eautor _9301731
245	1	0	_aNumerical Geometry of Non-Rigid Shapes / _cby Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_axxii, 346 páginas 10 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aMonographs in Computer Science, _x0172-603X
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aBronstein, Michael M. _eautor _9301732
700	1		_aKimmel, Ron. _eautor _9301733
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387733005
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-73301-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c278248 _d278248