March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Technical requirements
The technologies and softwares used in this chapter are the following:
- OpenCV v3 or v4 Android SDK compiled with the ArUco contrib module: https://github.com/Mainvooid/opencv-android-sdk-with-contrib
- Android Studio v3.2+
- Android device running Android OS v6.0+
Build instructions for these components, as well as the code to implement the concepts presented in this chapter, will be provided in the accompanying code repository.
To run the examples, a printed calibration board is required. The board image can be generated programmatically with the ArUco cv::aruco::CharucoBoard::draw function, and can then be printed using a home printer. The board works best if it is glued to a hard surface, such as a cardboard or plastic ...