000 02085cam a2200325Ii 4500
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003 KUKTEM
005 20251125100115.0
008 150409s2014 enka 001 0 eng d
020 _a9781447163190 (pbk.)
020 _a9781447163206 (ebk.)
020 _a1447163192
020 _a1447163206
020 _a9781447163206
039 9 _a201504091020
_bariffin
_c201504091019
_dariffin
_y201504091019
_zariffin
040 _aUMP
090 _aTA1634 .K54 2014
100 1 _aKlette, Reinhard
245 1 0 _aConcise computer vision :
_ban introduction into theory and algorithms /
_cReinhard Klette
260 _aLondon :
_bSpringer,
_c[2014]
300 _axviii, 429 p. :
_bill. (some col.) ;
_c24 cm.
490 1 _aUndergraduate topics in computer science,
_x1863-7310
504 _aIncludes indexes
505 0 _aImage 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
520 _a"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." --
_cProvided by publisher
650 0 _aComputer vision
_vTextbooks
650 0 _aComputer algorithms
_vTextbooks
830 0 _aUndergraduate topics in computer science,
_x1863-7310
999 _aVIRTUA
_c77577
_d77583
999 _aVTLSSORT0080*0400*0200*0201*0202*0203*0204*0900*1000*2450*2600*3000*4900*5040*5050*5200*6500*6501*8300*9992