000			03343nam a22005535i 4500
001			978-1-84628-065-8
003			DE-He213
005			20170628033835.0
007			cr nn 008mamaa
008			100301s2005 xxk| s |||| 0|eng d
020			_a9781846280658 _9978-1-84628-065-8
024	7		_a10.1007/b138155 _2doi
050		4	_aT385
072		7	_aUML _2bicssc
072		7	_aCOM012000 _2bisacsh
082	0	4	_a006.6 _223
100	1		_aBhanu, Bir. _eeditor.
245	1	0	_aComputer Vision Beyond the Visible Spectrum _h[electronic resource] / _cedited by Bir Bhanu, Ioannis Pavlidis.
264		1	_aLondon : _bSpringer London, _c2005.
300			_aX, 320 p. 156 illus., 5 illus. in color. _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
505	0		_aA Theoretical Framework for Predicting Performance of Object Recognition -- Methods for Improving the Performance of an SAR Recognition System -- Three-Dimensional Laser Radar Recognition Approaches -- Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery -- Moving Object Detection and Compression in IR Sequences -- Face Recognition in the Thermal Infrared -- Cardiovascular MR Image Analysis -- Visualization and Segmentation Techniques in 3D Ultrasound Images -- Time-Frequency Analysis in Terahertz-Pulsed Imaging.
520			_aRecently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
650		0	_aComputer science.
650		0	_aNeurosciences.
650		0	_aArtificial intelligence.
650		0	_aComputer graphics.
650		0	_aComputer vision.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aComputer Graphics.
650	2	4	_aImage Processing and Computer Vision.
650	2	4	_aPattern Recognition.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aElectronic and Computer Engineering.
650	2	4	_aNeurosciences.
700	1		_aPavlidis, Ioannis. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781852336042
830		0	_aAdvances in Pattern Recognition
856	4	0	_uhttp://dx.doi.org/10.1007/b138155
912			_aZDB-2-SCS
999			_c17097 _d17097