Mastering OpenCV 4: A Comprehensive Guide to Building Computer Vision and Image Processing Applications with C++, 3rd Edition (Roy Shilkrot, et al)

 
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Mastering OpenCV 4: A Comprehensive Guide to Building Computer Vision and Image Processing Applications with C++, 3rd Edition (Roy Shilkrot, et al)

This guide is intended for computer vision engineers who are learning the basics of OpenCV. The book provides complete projects from ideation to running code, focusing on current hot topics in computer vision like face recognition, landmark detection and pose estimation and number recognition with deep convolutional networks.

The mathematical formulations are kept to a solid but minimal level.

  • Learn about the new features that help unlock the full potential of OpenCV 4
  • Build face detection applications with a cascade classifier using face landmarks
  • Create an optical character recognition (OCR) model using deep learning and convolutional neural networks

This book is intended for C++ programmers with a working knowledge of OpenCV. Because we move through the book very fast, you should be familiar with some of the more theoretical and mathematical topics.

Ebook Details

About the Authors
  • At Stony Brook University, Roy Shilkrot is an assistant professor of computer science and the group's leader.
  • At the age of eight, David Millan Escriva created his first software in Simple on an 8086 PC that allowed basic equations to be plotted in two dimensions.
Published
Published Date / Year
(December 27, 2018); eBook (Free Edition)
Permission
Free eBook by the Publisher (Packt)
Hardcover
280 pages
eBook Format
HTML
Language
English
ISBN-10
1789533570
ISBN-13
978-1789533576

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