Building OpenCV for Android from Source

Reference

• http://code.opencv.org/projects/opencv/wiki/Building_OpenCV4Android_from_trunk#OpenCV-build  
• Basic guide
• http://answers.opencv.org/question/3699/building-android-manager-from-git-repository/
• Comments for building service (OpenCV Manager)
• http://answers.opencv.org/question/1574/camera-not-working/?answer=1780#post-id-1780
• Trouble Shooting for building servic
• Most of contents in this post is based on the articles. Thanks Pete.
• https://www.scirra.com/tutorials/861/how-to-sign-and-align-your-android-app-apk
• Signing on Command line

Introduction

1. Check Android Version
1. Most of Example does not run completely on Lollipop because native camera are not supported by OpenCV 2.4.10.  libnative_camera_r5.0.0.so does not exist yet.
2. Download Android source code and compile it 
1. For full build including "OpenCV Manager(or Engine)" android platform source tree is needed. Check my previous post (http://jylee-world.blogspot.kr/2013/11/android-platform-nexus-4-rooting.html)
2. We get opencv_engine.apk(including libOpenCVEngine.so and libOpenCVEngine_jni.so) by setting source tree.
3. Download android NDK and set ANDROID_NDK
4. Download android SDK and set ANDROID_SDK
5. Setup for cmake (explained in detail in the next sections)
1. Modify cmake_android_arm.sh
2. Combine cmake_android_service.sh)
6. Apply minor source modifications (explained in detail in the next sections)
7. cmake
8. make

 I use opencv-2.4.10-release, android-ndk-r9d(NDK),  adt-bundle-linux-x86_64-20140702(SDK), android-4.4.2_r1 (Android Source)

[Links] Computer Vision Links & References

Information for Deep Learning

• http://khanrc.tistory.com/entry/Deep-Learning%EC%9D%84-%EC%9C%84%ED%95%B4-%EC%96%B4%EB%96%A4-GPU%EB%A5%BC-%EC%8D%A8%EC%95%BC-%ED%95%A0%EA%B9%8C
• http://www.csc.kth.se/~roelof/deepdream/bvlc_googlenet.html 

Mathematical Fundamental

• Matrix Cookbook
• Matrix Calculus, Algebra
• http://www.mit.edu/~wingated/stuff_i_use/matrix_cookbook.pdf
• Convex Optimization
• Include Basic Mathematical Tools
• http://web.stanford.edu/~boyd/cvxbook/

Computer Vision, Model, Learning and Inference

• http://www.computervisionmodels.com/
• Simon J.D. Prince (University College of London)
• Author of "Computer Vision, Model, Learning and inference"

Recognizing and Learning Object Categories

• http://people.csail.mit.edu/torralba/shortCourseRLOC/
• Antonio Torallba (MIT)

David Forsyth's Homepage

• http://luthuli.cs.uiuc.edu/~daf/
• Author of "Computer Vision: Modern Approaches (2ED)" 

Derek Hoiem

• http://www.cs.uiuc.edu/~dhoiem/
• University of Illinos at Urbana Champaign

 Robert T. Collins

• http://www.cse.psu.edu/~rtc12/
• Pennsylvania State University 

Technische Universitat Munchen

• http://ias.cs.tum.edu/teaching/ss2012/techcogsys
• Intelligent Autonomous Systems Groups

Computer Vision Online

• http://homepages.inf.ed.ac.uk/rbf/CVonline/

Advanced Robotics Lecture Notes@UC Berkeley 

• http://www.cs.berkeley.edu/~pabbeel/cs287-fa11/