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)

History of OpenCV from v1 to v4

OpenCV started as the brainchild of Gray Bradsky, once a computer vision engineer at Intel, around the early 2000s. Bradsky and a team of engineers, mostly from Russia, developed the first versions of OpenCV internally at Intel before making v0.9 of it open source software (OSS) in 2002. Bradsky then transitioned to Willow Garage, with the former founding members of OpenCV. Among them were Viktor Eurkhimov, Sergey Molinov, Alexander Shishkov, and Vadim Pisarevsky (who eventually started the company ItSeez, which was acquired in 2016 by Intel), who began supporting the young library as an open source project.

Version 0.9 had a predominantly C API and already sported image data manipulation functions and pixel access, image processing, filtering, colorspace transformations, geometric and shape analysis (for example, morphologic functions, Hough transforms...