OpenCV Computer Vision Application Programming Cookbook, 2nd Edition
| Author | : | |
| Rating | : | 4.30 (976 Votes) |
| Asin | : | 1782161481 |
| Format Type | : | paperback |
| Number of Pages | : | 350 Pages |
| Publish Date | : | 2017-04-29 |
| Language | : | English |
DESCRIPTION:
MMA said Three Stars. Its a good book for beginner to learn about OpenCV. Nicely structured into what to do and how it works Having read the negative reviews of this book I was impressed at it when I got it (Kindle edition). Nicely structured into what to do and how it works the book carries you through a lot of case studies in computer vision with openCV. I plan to use the book as an inspiration for a hobby robot project and need something to get me started fast and easy. I think the book does the job. Mingling around with the code, reading the explanations and some of the research papers should produce the wanted results I hope.The only critique I have is that the font of the code examples should be smaller in the Kindle edition.. "Don't buy itbad publishing, and extremely boring. Lacks context." according to Ryein Goddard. The first thing I disliked about this book was the description every where. For some reason it was listed as an OpenCV Don't buy itbad publishing, and extremely boring. Lacks context. The first thing I disliked about this book was the description every where. For some reason it was listed as an OpenCV 3 book. It isn't it only talks about OpenCV 2.The second thing I dislike about this book is the fact it doesn't have color, or even half decent images. It is kind of important to have good images in a computer vision book.The third thing I disliked about this book was the way everything was explained. It was all not in context. This very well could of just been a big listing of code and a few sentences. Hardly anything is in context at least in terms of other relative functions. The writing was very dull and . book. It isn't it only talks about OpenCV 2.The second thing I dislike about this book is the fact it doesn't have color, or even half decent images. It is kind of important to have good images in a computer vision book.The third thing I disliked about this book was the way everything was explained. It was all not in context. This very well could of just been a big listing of code and a few sentences. Hardly anything is in context at least in terms of other relative functions. The writing was very dull and
It can also be used as a companion book in a university-level computer vision courses. Over 50 recipes to help you build computer vision applications in C++ using the OpenCV libraryAbout This BookMaster OpenCV, the open source library of the computer vision communityMaster fundamental concepts in computer vision and image processingLearn the important classes and functions of OpenCV with complete working examples applied on real imagesWho This Book Is ForOpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.What You Will LearnInstall and create a program using the OpenCV libraryProcess an image by manipulating its pixelsAnalyze an image using histogramsSegment images into homogenous regions and extract meaningful objectsApply image filters to enhance image contentExploit image ge
He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content-based video analysis, visual surveillance, object recognition, and 3D reconstruction. About the AuthorRobert LaganiereRobert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees fro
He co-founded Visual Cortek in 2006, an Ottawa-based video analytics startup that was later acquired by iWatchLife (iwatchlife) in 2009, where he also assumes the role of Chief Scientist. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content-based video analysis, visual surveillance, object recognition, and 3D reconstruction.