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MARC状态:审校 文献类型:西文图书 浏览次数:48

题名/责任者:
Learning openCV 3 = 学习 OpenCV 3 上 / Adrian Kaehler, Gary Bradski著.
出版发行项:
南京 : 东南大学出版社, 2017.
ISBN:
9787564173548
载体形态项:
492 pages: illustrations ; 24 cm
变异题名:
学习 OpenCV 3
个人责任者:
Kaehler, Adrian, author.
附加个人名称:
Bradski, Gary R., author.
论题主题:
Computer vision.
论题主题:
Computer vision-Computer programs.
论题主题:
C++ (Computer program language)
论题主题:
OpenCV (Computer program language)
论题主题:
Image processing-Digital techniques.
论题主题:
Image analysis.
论题主题:
Open source software.
中图法分类号:
TP391.41
书目附注:
Includes bibliographical references (pages 949-965) and index.
内容附注:
1. Overview -- 2. Introduction to OpenCV -- 3. Getting to know OpenCV data types -- 4. Images and Large Array Types -- 5. Array Operations -- 6. Drawing and Annotating -- 7. Functors in OpenCV -- 8. Image, Video, and Data Files -- 9. Cross-Platform and Native Windows -- 10. Filters and Convolution -- 11. General Image Transforms -- 12. Image Analysis -- 13. Histograms and Templates -- 14. Contours -- 15. Background Subtraction -- 16. Keypoints and Descriptors -- 17. Tracking -- 18. Camera Models and Calibration -- 19. Projection and Three-Dimensional Vision -- 20. The Basics of Machine Learning in OpenCV -- 21. StatModel: The Standard Model for Learning in OpenCV -- 22. Object Detection -- 23. Future of OpenCV -- A. Planar Subdivisions -- B. opencv_contrib -- C. Calibration Patterns.
摘要附注:
"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface.
原版附注:
Reprint. Originally published : Sebastopol, CA : O'Reilly Media, 2016.
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TP391.41/E16-1 800007709   西文     可借 西文
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