LEADER 03370nam  22006855  450 
001 9910437576003321
005 20260810113255.0
010   $a9781447149477
010   $a1447149475
024 7 $a10.1007/978-1-4471-4947-7
035   $a(OCoLC)827535831
035   $a(MiFhGG)GVRL6YTJ
035   $a(CKB)2670000000341763
035   $a(DE-He213)978-1-4471-4947-7
035   $a(EXLCZ)992670000000341763
100   $a20130202d2013      u|         0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aOmnidirectional Vision Systems $eCalibration, Feature Extraction and 3D Information /$fby Luis Puig, J J Guerrero
205   $a1st ed. 2013.
210  1$aLondon :$cSpringer London :$cImprint: Springer,$d2013.
215   $a1 online resource (xi, 122 pages) $cillustrations (some color)
225 1 $aSpringerBriefs in Computer Science,$x2191-5776
300   $a"ISSN: 2191-5768."
311 08$a9781447149460 
311 08$a1447149467 
320   $aIncludes bibliographical references and index.
327   $aModeling Omnidirectional Vision Systems -- Calibration of Omnidirectional Cameras Using a DLT-Like Approach -- Comparison of Calibration Methods for Omnidirectional Cameras -- Two-View Relations Between Omnidirectional and Conventional Cameras -- Generic Scale Space for a Camera Invariant Feature Extractor -- Orientation of a Hand-Held Catadioptric System in Man-Made Environments -- Conclusions.
330   $aThis work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval. The book opens with a thorough introduction to the sphere camera model, along with an analysis of the relation between this model and actual central catadioptric systems. Then, a new approach to calibrate any single-viewpoint catadioptric camera is described.  This is followed by an analysis of existing methods for calibrating central omnivision systems, and a detailed examination of hybrid two-view relations that combine images acquired with uncalibrated central catadioptric systems and conventional cameras. In the remaining chapters, the book discusses a new method to compute the scale space of any omnidirectional image acquired with a central catadioptric system, and a technique for computing the orientation of a hand-held omnidirectional catadioptric camera.
410  0$aSpringerBriefs in Computer Science,$x2191-5776
606   $aComputer vision
606   $aArtificial intelligence
606   $aControl engineering
606   $aRobotics
606   $aAutomation
606   $aComputer Vision
606   $aArtificial Intelligence
606   $aControl, Robotics, Automation
615  0$aComputer vision.
615  0$aArtificial intelligence.
615  0$aControl engineering.
615  0$aRobotics.
615  0$aAutomation.
615 14$aComputer Vision.
615 24$aArtificial Intelligence.
615 24$aControl, Robotics, Automation.
676   $a621.367
676   $a629.8/92637
676   $a629.892637
700   $aPuig$b Luis$01063386
702   $aGuerrero$b J. J$g(Jose? J.),
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910437576003321
996   $aOmnidirectional vision systems$94189655
997   $aUNINA