Concise Computer Vision (Record no. 51877)
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fixed length control field | 03808nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4471-6320-6 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420220220.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140104s2014 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781447163206 |
-- | 978-1-4471-6320-6 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.6 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.37 |
100 1# - AUTHOR NAME | |
Author | Klette, Reinhard. |
245 10 - TITLE STATEMENT | |
Title | Concise Computer Vision |
Sub Title | An Introduction into Theory and Algorithms / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVIII, 429 p. 298 illus., 229 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Undergraduate Topics in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 1: Image Data -- 2: Image Processing -- 3: Image Analysis -- 4: Dense Motion Analysis -- 5: Image Segmentation -- 6: Cameras, Coordinates and Calibration -- 7: 3D Shape Reconstruction -- 8: Stereo Matching -- 9: Feature Detection and Tracking -- 10: Object Detection. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-6320-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | London : |
-- | Springer London : |
-- | Imprint: Springer, |
-- | 2014. |
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-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computers. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Image processing. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Image Processing and Computer Vision. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computing Methodologies. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1863-7310 |
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-- | ZDB-2-SCS |
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