Was eight years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations.
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. 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). 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. Is an assistant professor of computer science at Stony Brook University, where he leads the Human Interaction group. Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Learn OpenCV 4 By Building Projects - Second Edition
We also provide a PDF file that has color images of the screenshots/diagrams used in this book.
Software and Hardware ListĮach chapter folder contains individual instruction on building and running the code.Ĭhapter 10: Avoiding Common Pitfalls in OpenCV, is without code.
With the following software and hardware list you can run all code files present in the book (Chapter 1-10). You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book. This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. Resize(smallImg, bigImg, size, 0,0, INTER_LINEAR) įollowing is what you need for this book:
If you feel this book is for you, get your copy today!Īll of the code is organized into folders.