Java API for Histograms of Oriented Gradient C code
One of the most successful and popular feature extraction algorithms used in Computer Vision for object detection is the "Histograms of oriented gradients for human detection" (HOG) by Dalal and Triggs. And one of the best implementations (in terms of speed, reliability, etc.) is by Piotr Dollar and it is available in the "Piotr's Computer Vision Matlab Toolbox". The core of the code is written in very compact and efficient C and the interfacing is given in MATLAB. However, when implementing object detection, activity recognition or other computer vision systems in Java which is currently the most popular programming language and widely used in industry and business, there is no reliable HOG feature extraction API. This project tackles this problem by providing a Java API to the core C code. Java Native Interface (JNI) is used to bridge C and Java.
Copyright (C) 2017 Kyaw Kyaw Htike @ Ali Abdul Ghafur. All rights reserved.
Dr. Kyaw Kyaw Htike @ Ali Abdul Ghafur