Mastering OpenCV 4: A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition

by Roy Shilkrot, David Millán Escrivá

Overview

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.

Product Details

ISBN-13:	9781789539264
Publisher:	Packt Publishing
Publication date:	12/27/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	280
File size:	54 MB
Note:	This product may take a few minutes to download.

About the Author

Roy Shilkrot is an assistant professor of computer science at Stony Brook University, where he leads the Human Interaction group. Dr. Shilkrot's research is in computer vision, human-computer interfaces, and the cross-over between these two domains, funded by US federal, New York State, and industry grants. Dr. Shilkrot graduated from the Massachusetts Institute of Technology (MIT) with a PhD, and has authored more than 25 peer-reviewed papers published at premier computer science conferences, such as CHI and SIGGRAPH, as well as in leading academic journals such as ACM Transaction on Graphics (TOG) and ACM Transactions on Computer-Human Interaction (ToCHI). Dr. Shilkrot is also a co-inventor of several patented technologies, a co-author of a number of books, serves on the scientific advisory board of numerous start-up companies, and has over 10 years of experience as an engineer and an entrepreneur. David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT through the Universitat Politécnica de Valenci with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). He had a final project based on this subject and published it on HCI Spanish congress. He has worked with Blender, an open source, 3D software project, and worked on his first commercial movie, Plumiferos - Aventuras voladoras, as a computer graphics software developer. David now has more than 10 years of experience in IT, with experience in computer vision, computer graphics, and pattern recognition, working with different projects and start-ups, applying his knowledge of computer vision, optical character recognition, and augmented reality. He is the author of the DamilesBlog blog, where he publishes research articles and tutorials about OpenCV, computer vision in general, and optical character recognition algorithms.

Table of Contents

Table of Contents

1. Cartoonifier and Skin Color Analysis on the RaspberryPi
2. Exploring Structure from Motion with the SfM Module
3. Face Landmark and Pose Estimation with the Face Module
4. Number Plate Recognition with Deep Convolutional Networks
5. Face Recognition with the DNN Module
6. Introduction to Web Computer Vision with OpenCv.js
7. Android Camera Calibration and AR using the ARUco Module
8. iOS Image Stitching with the Stitching Module
9. Finding the Best OpenCV Algorithm for the Job
10. Avoiding Common Pitfalls in OpenCV