Introducing pattern recognition for machine vision
Pattern recognition is an important part of machine vision or computer vision, to teach a machine to understand the object in an image.
In this section, we explore a paper by Paul Viola and Michael Jones about Rapid Object Detection using a Boosted Cascade of Simple Features. This paper describes a machine learning approach for visual object detection.
In general, the Viola and Jones approach is known as Haar Cascades. Their algorithm uses AdaBoost algorithm with the following classifier:
Fortunately, the OpenCV library has implemented Viola and Jones' approach to visual object detection. Other people ...
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