Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)

Is it covered in OpenCV?

When first tackling a computer vision problem, any engineer should first asks: should I implement a solution from scratch, from a paper or known method, or use an existing solution and fit it to my needs?

This question goes hand-in-hand with the offering of implementations in OpenCV. Luckily, OpenCV has very wide and extensive coverage of both canonical and specific computer vision tasks. On the other hand, not all OpenCV implementations are easily applied to a given problem. For example, while OpenCV offers some object recognition and classification capabilities, it is by far inferior to the state-of-the-art computer vision one would see in conferences and the literature. Over the last few years, and certainly in OpenCV v4.0, there's an effort to easily integrate deep convolutional neural networks with OpenCV APIs (through the core dnn module) so...