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题名/责任者:

Learning openCV 3 = 学习 OpenCV 3 下 / 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:

493-990 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.

豆瓣简介：