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學習OpenCV 3 版權信息
- ISBN:9787564173548
- 條形碼:9787564173548 ; 978-7-5641-7354-8
- 裝幀:一般膠版紙
- 冊數:暫無
- 重量:暫無
- 所屬分類:>>
學習OpenCV 3 本書特色
本書將你置身于迅速發展的計算機視覺領域。本書作者是免費開源OpenCV的發起人,這本書為你介紹了計算機視覺,例證了如何迅速建立使計算機能“看”的應用程序,以及如何基于計算機獲取的數據作出決策。
學習OpenCV 3 內容簡介
本書將你置身于迅速發展的計算機視覺領域。本書作者是免費開源OpenCV的發起人,這本書為你介紹了計算機視覺,例證了如何迅速建立使計算機能“看”的應用程序,以及如何基于計算機獲取的數據作出決策。
學習OpenCV 3 目錄
Preface1. Overview What Is OpenCV
Who Uses OpenCV
What Is Computer Vision
The Origin of OpenCV OpenCV Block Diagram Speeding Up OpenCV with IPP Who Owns OpenCV
Downloading and Installing OpenCV Installation Getting the Latest OpenCV via Git More OpenCV Documentation Supplied Documentation Online Documentation and the Wiki OpenCV Contribution Repository Downloading and Building Contributed Modules Portability Summary Exercises2. Introduction to 0penCV Include Files Resources First Program--Display a Picture Second Program--Video Moving Around A Simple Transformation A Not-So-Simple Transformation Input from a Camera Writing to an AVI File Summary Exercises3. Getting to Know OpenCV Data Types The Basics OpenCV Data Types Overview of the Basic Types Basic Types: Getting Down to Details Helper Objects Utility Functions The Template Structures Summary Exercises4. Images and Large Array Types Dynamic and Variable Storage The cv::Mat Class: N-Dimensional Dense Arrays Creating an Array Accessing Array Elements Individually The N-ary Array Iterator: NAryMatIterator Accessing Array Elements by Block Matrix Expressions: Algebra and cv::Mat Saturation Casting More Things an Array Can Do The cv::SparseMat Class: Sparse Arrays Accessing Sparse Array Elements Functions Unique to Sparse Arrays Template Structures for Large Array Types Summary Exercises5. Array Operati0ns More Things You Can Do with Arrays cv::abs0 cv::absdiff() cv::add0 cv::addWeighted() cv::bitwise_and() ……
6. Drawing and Annotating7. Functors in OpenCV8. Image, Video, and Data Files9. Cross-Platform and Native Windows10. Filters and Convolution11. General Image Transforms12. Image Analysis13. Histograms and Templates14. Contours15. Background Subtraction16. Keypoints and Descriptors17. Tracking18. Camera Models and Calibration19. Projection and Three-Dimensional Vision20. The Basics of Machine Learning in OpenCV21. StatModel: The Standard Model for Learning in OpenCV22. Object Detection23. Future of OpenCVA. Planar SubdivisionsB. opencv_contribC. Calibration PatternsBibliographyIndex
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學習OpenCV 3 作者簡介
Adrian Kaehlef是一位企業家,同時也是Silicon Valley Deep Learnlng Group的創始人。其工作包括機器學習、統計建模、計算機視覺以及機器人學。他在斯坦福大學AI實驗室擁有職位,另外還是DARPA Grand Challerige競賽獲勝團隊Stanley的其中一員。
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