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OpenCV By Example

OpenCV By Example

By : Joshi, Millán Escrivá, Vinícius G. Mendonça
3.8 (5)
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OpenCV By Example

OpenCV By Example

3.8 (5)
By: Joshi, Millán Escrivá, Vinícius G. Mendonça

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (13 chapters)
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12
Index

Introducing machine learning concepts


Machine learning is an old concept that was defined in 1959 by Arthur Samuel as a field of study that gives computers the ability to learn without being explicitly programmed. Tom. M. Mitchel provided a more formal definition. In this definition, Tom links the concept of samples or experiences, labels, and performance measurements.

Note

The machine learning definition by Arthur Samuel is referenced from Some Studies in Machine Learning Using the Game of Checkers in the IBM Journal of Research and Development (Volume: 3, Issue: 3), p. 210 and a phrase in The New Yorker and Office Management the same year.

The more formal definition by Tom. M. Mitchel is referenced from Machine Learning Book, McGray Hill 1997 (http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.html).

Machine learning involves pattern recognition and the learning theory in artificial intelligence and is related to computational statistics.

Machine learning is used in hundreds of applications...

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Tech Concepts
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OpenCV By Example
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