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OpenCV 4 Computer Vision Application Programming Cookbook. Build complex computer vision applications with OpenCV and C++ - Fourth Edition David Millán Escrivá, Robert Laganiere

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OpenCV 4 Computer Vision Application Programming Cookbook. Build complex computer vision applications with OpenCV and C++ - Fourth Edition David Millán Escrivá, Robert Laganiere - okladka książki

OpenCV 4 Computer Vision Application Programming Cookbook. Build complex computer vision applications with OpenCV and C++ - Fourth Edition David Millán Escrivá, Robert Laganiere - okladka książki

Autorzy:
David Millán Escrivá, Robert Laganiere
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
494
Dostępne formaty:
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     Mobi

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OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work with recipes to implement a variety of tasks. With 70 self-contained tutorials, this book examines common pain points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs.
This book begins by guiding you through setting up OpenCV, and explaining how to manipulate pixels. You'll understand how you can process images with classes and count pixels with histograms. You'll also learn detecting, describing, and matching interest points. As you advance through the chapters, you'll get to grips with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you'll cover deep learning concepts such as face and object detection.
By the end of this book, you'll have the skills you need to confidently implement a range of computer vision algorithms to meet the technical requirements of your complex CV projects.

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O autorze książki

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking.
Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics.
Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author’s website at laganiere.name.

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