CSE 255 Winter 2015 Assignment 1: Eye Detection using Histogram of Oriented Gradients and Adaboost Classifier
نویسنده
چکیده
An image of an eye is known to have a certain shape, roughly ellipse shaped. And so the Histogram of Oriented Gradient (HOG) feature is a good descriptor for this type of detection. In this paper, the eye detector is trained with HOG features using an Adaptive Boosting (AdaBoost) algorithm to train and learn a set of weak classifiers. It is shown to work fairly well although it underperforms when compared to the detectors included with openCV. However, as will be discussed in this paper, there is a lot of room for improving the eye detector. Note to the grader of this paper: The section titles have a “Task” label with numbers corresponding to the assignment1.pdf instructions to help grade each section. I have tried my best to keep everything in their corresponding sections.
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