000			03434nam a22005655i 4500
001			978-1-4614-5632-2
003			DE-He213
005			20140220082821.0
007			cr nn 008mamaa
008			121026s2013 xxu| s |||| 0|eng d
020			_a9781461456322 _9978-1-4614-5632-2
024	7		_a10.1007/978-1-4614-5632-2 _2doi
050		4	_aTA1637-1638
050		4	_aTA1637-1638
072		7	_aUYT _2bicssc
072		7	_aUYQV _2bicssc
072		7	_aCOM012000 _2bisacsh
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.6 _223
082	0	4	_a006.37 _223
100	1		_aBellocchio, Francesco. _eauthor.
245	1	0	_a3D Surface Reconstruction _h[electronic resource] : _bMulti-Scale Hierarchical Approaches / _cby Francesco Bellocchio, N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aVI, 162 p. 78 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Scanner systems -- Reconstruction -- Surface fitting as a regression problem -- Hierarchical Radial Basis Functions Networks -- Hierarchical Support Vector Regression -- Conclusion.
520			_a3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.
650		0	_aComputer science.
650		0	_aComputer Communication Networks.
650		0	_aArtificial intelligence.
650		0	_aComputer vision.
650	1	4	_aComputer Science.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aInformation Systems Applications (incl. Internet).
650	2	4	_aComputer Communication Networks.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
700	1		_aBorghese, N. Alberto. _eauthor.
700	1		_aFerrari, Stefano. _eauthor.
700	1		_aPiuri, Vincenzo. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461456315
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-5632-2
912			_aZDB-2-SCS
999			_c95462 _d95462