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001442453 001__ 1442453
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001442453 019__ $$a1287771398
001442453 020__ $$a9783030791759$$q(electronic bk.)
001442453 020__ $$a3030791750$$q(electronic bk.)
001442453 020__ $$z9783030791742$$q(print)
001442453 0247_ $$a10.1007/978-3-030-79175-9$$2doi
001442453 035__ $$aSP(OCoLC)1277149222
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001442453 049__ $$aISEA
001442453 050_4 $$aTJ211.3
001442453 08204 $$a629.8/92637$$223
001442453 1001_ $$aCorke, Peter I.,$$d1959-$$eauthor.
001442453 24510 $$aRobotic vision :$$bfundamental algorithms in MATLAB® /$$cPeter Corke.
001442453 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2022]
001442453 300__ $$a1 online resource (xxv, 412 pages) :$$billustrations (some color)
001442453 336__ $$atext$$btxt$$2rdacontent
001442453 337__ $$acomputer$$bc$$2rdamedia
001442453 338__ $$aonline resource$$bcr$$2rdacarrier
001442453 347__ $$atext file
001442453 347__ $$bPDF
001442453 4901_ $$aSpringer tracts in advanced robotics,$$x1610-742X ;$$vvolume 142
001442453 504__ $$aIncludes bibliographical references and index.
001442453 5050_ $$aIntroduction -- Part I: Foundations- Representing Position and Orientation -- Part II: Computer Vision -- Light and Color -- Images and Image Processing -- Image Feature Extraction -- Part III: The Geometry of Vision -- Image Formation -- Using Multiple Images -- Index.
001442453 506__ $$aAccess limited to authorized users.
001442453 520__ $$aThis textbook provides a tutorial introduction to classical Computer Vision. It is written in a light but informative narrative style, and includes many figures and MATLAB examples. The book takes the reader through the fundamentals of light and color, image processing, feature extraction, image formation and camera modelling, and multi-view geometry. Advanced topics include non-perspective cameras, light-field cameras, calibration, stereo vision and bundle adjustment. The Machine Vision Toolbox for MATLAB is free and open software that enables the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.
001442453 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 19, 2021).
001442453 63000 $$aMATLAB.
001442453 650_0 $$aRobot vision.
001442453 650_0 $$aRobot vision$$xMathematics.
001442453 650_6 $$aVision artificielle (Robotique)
001442453 650_6 $$aVision artificielle (Robotique)$$xMathématiques.
001442453 655_0 $$aElectronic books.
001442453 77608 $$iPrint version: $$z9783030791742
001442453 77608 $$iPrint version: $$z9783030791766
001442453 77608 $$iPrint version: $$z9783030791773
001442453 830_0 $$aSpringer tracts in advanced robotics ;$$vv. 142.$$x1610-742X
001442453 852__ $$bebk
001442453 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-79175-9$$zOnline Access$$91397441.1
001442453 909CO $$ooai:library.usi.edu:1442453$$pGLOBAL_SET
001442453 980__ $$aBIB
001442453 980__ $$aEBOOK
001442453 982__ $$aEbook
001442453 983__ $$aOnline
001442453 994__ $$a92$$bISE