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Computer Vision – Face Detection

COMPUTER VISION What is it...? Computer Vision is mimicking the abilities of human vision by electronically perceiving and understanding an image.<br>

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Computer Vision – Face Detection

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  1. Computer Vision – Face Detection Posted by Anurag Jain

  2. COMPUTER VISION What is it…? Computer Vision is mimicking the abilities of human vision by electronically perceiving and understanding an image. It is a broad term and includes a lot of domains like Gesture Recognition, Optical Character Recognition, Face detection and a lot more. In this article, we will be focussing on face detection and try to understand the key ideas that allow us to detect human faces in real time.

  3. It all begins with a pixel! As shown below, a digital representation of an image comprises a large number of pixels depending on the resolution of the image. Each pixel represents the smallest unit containing the information about how the image will be rendered on a digital device. Each pixel can be represented by 4 bytes ( 1 byte each for red, green, blue and alpha ).

  4. What Face Detection is…? It is essentially processing a raw image to : Detect the presence of human faces, if any. Extract info about the coordinates and size of those human faces. How do we do it…? That’s what this article is all about. Before we dive into the implementation details, let’s discuss the framework that most of the modern face detection systems use… the Viola-Jones Object Detection Framework.

  5. VIOLA JONES OBJECT DETECTION FRAMEWORK The training is slow, but the detection is fast. This framework introduced three key ideas: • Integral image representation • Construction of classifier by Adaptive Boosting • Combining successively more complex classifiers in a cascade structure • More detail - http://vinsol.com/blog/2016/06/28/computer-vision-face-detection/

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