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008 110823s2011 gw | s |||| 0|eng d
020 _a9783642201448
_9978-3-642-20144-8
040 _cMX-MeUAM
050 4 _aTJ210.2-211.495
050 4 _aT59.5
082 0 4 _a629.892
_223
100 1 _aCorke, Peter.
_eauthor.
245 1 0 _aRobotics, Vision and Control
_h[recurso electrónico] :
_bFundamental Algorithms in MATLAB /
_cby Peter Corke.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXXIV, 570 p. 338 illus., 295 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 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v73
505 0 _aPart I Foundations -- Part II Mobile Robots -- Part III Arm-type Robots -- Part IV Vision -- Part V Robotics and Vision.
520 _aThe practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the 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 —instant gratification in just a couple of lines of MATLAB code. 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. The purpose of this book is to expand on the tutorial material provided with the  toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read  and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aConsciousness.
650 1 4 _aEngineering.
650 2 4 _aRobotics and Automation.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aMachinery and Machine Elements.
650 2 4 _aCognitive Psychology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642201431
830 0 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v73
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-20144-8
596 _a19
942 _cLIBRO_ELEC
999 _c203898
_d203898