000			03765nam a22004695i 4500
001			978-0-387-75523-6
003			DE-He213
005			20250710084022.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387755236 _a99780387755236
024	7		_a10.1007/978-0-387-75523-6 _2doi
082	0	4	_a006.6 _223
100	1		_aKragic, Danica. _eeditor.
245	1	0	_aUnifying Perspectives in Computational and Robot Vision _h[recurso electrónico] / _cedited by Danica Kragic, Ville Kyrki.
264		1	_aBoston, MA : _bSpringer US, _c2008.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Electrical Engineering, _x1876-1100 ; _v8
505	0		_aRecent Trends in Computational and Robot Vision -- Extracting Planar Kinematic Models Using Interactive Perception -- People Detection Using Multiple Sensors on a Mobile Robot -- Perceiving Objects and Movements to Generate Actions on a Humanoid Robot -- Wald's Sequential Analysis for Time-constrained Vision Problems -- Pose Estimation and Feature Tracking for Robot Assisted Surgery with Medical Imaging -- A Sliding Window Filter for Incremental SLAM -- Topological and Metric Robot Localization through Computer Vision Techniques -- More Vision for SLAM -- Maps, Objects and Contexts for Robots -- Vision-Based Navigation Strategies -- Image-Based Visual Servoing with Extra Task Related Constraints in a General Framework for Sensor-Based Robot Systems.
520			_aThe field of computer vision has developed significantly over the last several years and the application areas span a broad range from medicine to robotics and surveillance. Unifying Perspectives in Computational and Robot Vision provides an overview of the latest research surrounding vision algorithms and their use and evaluation with robotic applications. In robotics, computer vision is mainly seen as another sensory modality and new algorithms are commonly developed for different applications. In the computer vision community, there have been more requirements for benchmarking and comparison of methods but very few are still applied in realistic settings and in real-time which is one of the strongest requirements in robotic applications. Unifying Perspectives in Computational and Robot Vision brings the communities of robot and computer vision to a joint appreciation of the value of systems, where there is a need to consider all aspects from perception to action generation. Based on a workshop "From Features to Actions: Unifying Perspectives in Computational and Robot Vision" that was organized by the editors at the IEEE International Conference on Robotics and Automation (Rome, April 2007), Unifying Perspectives in Computational and Robot Vision will be a valuable resource for readers.
650		0	_aCOMPUTER SCIENCE.
650		0	_aARTIFICIAL INTELLIGENCE.
650		0	_aCOMPUTER VISION.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aCONTROL, ROBOTICS, MECHATRONICS.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
700	1		_aKyrki, Ville. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387755212
830		0	_aLecture Notes in Electrical Engineering, _x1876-1100 ; _v8
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-75523-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
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