OpenCV Open Source Computer Vision - Stanford University：OpenCV开源计算机视觉-斯坦福大学.pdfVIP

OpenCV: Open Source Computer Vision Digital Image Processing: Bernd Girod, David Chen, Matt Yu, © 2013 Stanford University -- Mobile Image Processing 1 OpenCV for Android  Port of OpenCV to Android platform  Over 2K optimized algorithms written in C/C++  Compiled with STL-enabled Android NDK  Enables popular CV functions to be used on mobile images/videos  Differences from regular Android programming  Requires writing C/C++ code  Requires writing Java Native Interface (JNI) wrappers  Requires using Android NDK in addition to Android SDK  Our Tutorial #2 helps to make the transition  How to set up OpenCV programming environment  How to write Android apps that call OpenCV functions  How to integrate NDK compilation into Eclipse IDE Digital Image Processing: Bernd Girod, David Chen, Matt Yu, © 2013 Stanford University -- Mobile Image Processing 2 “CVCamera” project  Goals of this project  Learn how to incorporate C/C++ code into an Android project  Learn how to utilize OpenCV library functions  Learn how to draw feature keypoints on viewfinder frames  Full source available on class website Digital Image Processing: Bernd Girod, David Chen, Matt Yu, © 2013 Stanford University -- Mobile Image Processing 3 “CVCamera” class hierarchy CVCamera Manages user Activity interface and (Java) program execution CVCamera