Dr. Menua Gevorgyan - OpenCV 4 with Python Blueprints: Build creative computer vision projects with the latest version of OpenCV 4 and Python 3, 2nd Edition

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First published: October 2015
Second edition: March 2020

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Dr. Menua Gevorgyan is an experienced researcher with a demonstrated history of working in the information technology and services industry. He is skilled in computer vision, deep learning, machine learning, and data science as well as having a lot of experience with OpenCV and Python programming. He is interested in machine perception and machine understanding problems, and wonders if it is possible to make a machine perceive the world as a human does.

Arsen Mamikonyan is an experienced machine learning specialist with demonstrated work experience in Silicon Valley and London, and teaching experience at the American University of Armenia. He is skilled in applied machine learning and data science and has built real-life applications using Python and OpenCV, among others. He holds a master's degree in engineering (MEng) with a concentration on artificial intelligence from the Massachusetts Institute of Technology.

Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).

His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.

Sri Manikanta Palakollu is an undergraduate student pursuing his bachelor's degree in computer science and engineering at SICET under JNTUH. He is a founder of the OpenStack Developer Community in his college.

He started his journey as a competitive programmer. He loves to solve problems related to the data science field. His interests include data science, app development, web development, cybersecurity, and technical writing. He has published many articles on data science, machine learning, programming, and cybersecurity with publications such as Hacker Noon, freeCodeCamp, Towards Data Science, and DDI.

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The goal of this book is to get you hands-on with a wide range of intermediate to advanced projects using the latest version of the OpenCV 4 framework and the Python 3.8 language instead of only covering the core concepts of computer vision in theoretical lessons.

This updated second edition has increased the depth of the concepts we tackle with OpenCV. It will guide you through working on independent hands-on projects that focus on essential computer vision concepts such as image processing, 3D scene reconstruction, object detection, and object tracking. It will also cover, with real-life examples, statistical learning and deep neural networks.