Face Detection using OpenCV with Java - Code Included

Face Detection project done using Java and OpenCV

Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.

This face-detection algorithm focus on the detection of frontal human faces using Haar feature-based cascade classifier proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images (in our case that would be faces).

This project is done using asynchronous tasks in JavaFX.

Tutorial and project files are available upon request. This would be the first project in Face Detection/Recognition series using Java