000			03383nam a22005655i 4500
001			978-3-319-30973-6
003			DE-He213
005			20200421111657.0
007			cr nn 008mamaa
008			160524s2016 gw | s |||| 0|eng d
020			_a9783319309736 _9978-3-319-30973-6
024	7		_a10.1007/978-3-319-30973-6 _2doi
050		4	_aTA1637-1638
050		4	_aTA1634
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		_aZanuttigh, Pietro. _eauthor.
245	1	0	_aTime-of-Flight and Structured Light Depth Cameras _h[electronic resource] : _bTechnology and Applications / _cby Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, Guido Maria Cortelazzo.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXII, 355 p. 193 illus., 154 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Operating principles of structured light depth cameras -- Operating principles of Time-of-Flight depth cameras -- Calibration -- Data fusion from depth and standard cameras -- Scene segmentation assisted by data depth -- 3D scene reconstruction from depth camera data -- Human pose estimation and tracking -- Gesture recognition -- Conclusions.
520			_aThis book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects of the computer vision algorithms needed for the various applications. Real data examples are used in order to show the performances of the various algorithms. The performance and limitations of the depth camera technology are explored, along with an extensive review of the most effective methods for addressing challenges in common applications. Applications covered in specific detail include scene segmentation, 3D scene reconstruction, human pose estimation and tracking and gesture recognition. This book offers students, practitioners and researchers the tools necessary to explore the potential uses of depth data in light of the expanding number of devices available for sale. It explores the impact of these devices on the rapidly growing field of depth-based computer vision.
650		0	_aComputer science.
650		0	_aImage processing.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aPattern Recognition.
700	1		_aMarin, Giulio. _eauthor.
700	1		_aDal Mutto, Carlo. _eauthor.
700	1		_aDominio, Fabio. _eauthor.
700	1		_aMinto, Ludovico. _eauthor.
700	1		_aCortelazzo, Guido Maria. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319309712
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-30973-6
912			_aZDB-2-SCS
942			_cEBK
999			_c54757 _d54757