02533cam a22004577i 4500 17984486 OSt 20240717124226.0 ta 131230s2014 enka 001 0 eng d 2013958392 9781447163190 10.1007/978-1-4471-6320-6 doi (OCoLC)ocn865495798 BTCTA eng BTCTA rda YDXCP OCLCO CIT DEBBG OCLCF DLC lccopycat TA1634 .K56 2014 Klette, Reinhard, Concise computer vision : an introduction into theory and algorithms / Reinhard Klette. London : Springer, 2014 xviii, 429 p. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Undergraduate topics in computer science, 1863-7310 Includes indexes. Image data -- Image processing -- Image analysis -- Dense motion analysis -- Image segmentation -- Cameras, coordinates, and calibration -- 3D shape reconstruction -- Stereo matching -- Feature detection and tracking -- Object detection. "Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme." -- Provided by publisher. Computer vision Textbooks. Computer algorithms Textbooks. Computer algorithms. fast (OCoLC)fst00872010 Computer vision. fast (OCoLC)fst00872687 Algorithmus. gnd (DE-588)4001183-5 Bildverarbeitung. gnd (DE-588)4006684-8 Maschinelles Sehen. gnd (DE-588)4129594-8 Textbooks. fast (OCoLC)fst01423863 Undergraduate topics in computer science, 1863-7310 7 cbc copycat 2 epcn 20 y-gencatlg lcc BK 20484 20483 0 0 lcc 0 KABU KABU 2024-07-17 6908.00 0 TA1634 .K56 2014 c.1 34041 2024-07-17 12:43:02 2024-07-17 BK