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The Resource Concise computer vision : an introduction into theory and algorithms, Reinhard Klette

Concise computer vision : an introduction into theory and algorithms, Reinhard Klette

Label
Concise computer vision : an introduction into theory and algorithms
Title
Concise computer vision
Title remainder
an introduction into theory and algorithms
Statement of responsibility
Reinhard Klette
Creator
Author
Subject
Language
eng
Summary
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. Topics and features: Provides an introduction to the basic notation and mathematical concepts for describing an image, and the key concepts for mapping an image into an image Explains the topologic and geometric basics for analysing image regions and distributions of image values, and discusses identifying patterns in an image Introduces optic flow for representing dense motion, and such topics in sparse motion analysis as keypoint detection and descriptor definition, and feature tracking using the Kalman filter Describes special approaches for image binarization and segmentation of still images or video frames. Examines the three basic components of a computer vision system, namely camera geometry and photometry, coordinate systems, and camera calibration. Reviews different techniques for vision-based 3D shape reconstruction, including the use of structured lighting, stereo vision, and shading-based shape understanding Includes a discussion of stereo matchers, and the phase-congruency model for image features. Presents an introduction into classification and learning, with a detailed description of basic AdaBoost and the use of random forests. 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
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Klette, Reinhard
Dewey number
006.3/7
Illustrations
illustrations
Index
index present
LC call number
TA1634
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Undergraduate Topics in Computer Science,
http://library.link/vocab/subjectName
  • Computer vision
  • Computer vision
Label
Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
Instantiates
Publication
Note
Includes indexes
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
869222487
Dimensions
unknown
Extent
1 online resource (xviii, 429 pages)
File format
unknown
Form of item
online
Isbn
9781447163190
Lccn
2013958392
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4471-6320-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)869222487
Label
Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
Publication
Note
Includes indexes
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
869222487
Dimensions
unknown
Extent
1 online resource (xviii, 429 pages)
File format
unknown
Form of item
online
Isbn
9781447163190
Lccn
2013958392
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4471-6320-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)869222487

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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