The purpose of this demo is to better understand the underlying implementation of ORB.
Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. It can be used in computer vision tasks like object recognition or 3D reconstruction. It is based on the FAST keypoint detector and the visual descriptor BRIEF (Binary Robust Independent Elementary Features). Its aim is to provide a fast and efficient alternative to SIFT.
Besides,to build this project, you need the followings:
OpenCV
Use OpenCV to process images.
C++11 or C++0x Compiler
Use the some functionalities of C++11.
cd XX/XX(include computeORB.cpp ,1.png , 2.png and CMakeLists.txt)
mkdir build
cd build
cmake ..
make -j2
./compute_Angle
