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OpenCV with Python By Example Paperback – September 22, 2015
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About the Author
Prateek Joshi is a computer vision researcher with a primary focus on content-based analysis. He is particularly interested in intelligent algorithms that can understand images to produce scene descriptions in terms of constituent objects. He has a master's degree from the University of Southern California, specializing in computer vision. He was elected to become a member of the Honor Society for academic excellence and an ambassador for the School of Engineering. Over the course of his career, he has worked for companies such as Nvidia, Microsoft Research, Qualcomm, and a couple of early stage start-ups in Silicon Valley. His work in this field has resulted in multiple patents, tech demos, and research papers at major IEEE conferences. He has won many hackathons using a wide variety of technologies related to image recognition. He enjoys blogging about topics such as artificial intelligence, abstract mathematics, and cryptography. His blog has been visited by users in more than 200 countries, and he has been featured as a guest author in prominent tech magazines.
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Top Customer Reviews
I liked how the author starts each topic with by explaining the problem. It's easy to follow the flow of the topic when we know why we are solving it in the first place. I liked the clear explanations in some of the more involved topics like object tracking and 3D reconstruction. I would definitely recommend this to people who want to get started with computer vision.
The chapters are written in a clear and concise manner. Even though I'm a beginner in Python, I could understand what's going on. I enjoyed reading the sections after code snippets where the author explains what's going on. Some of the really technical topics are explained very nicely, which helps beginners like myself. It was fun to understand how those image transformations actually work. Overall, I would say it was a great experience! You'll need to be familiar with Python if you want to fully appreciate the book. I don't know that much Python, but the code was pretty easy to follow.
I was happy to see different chapters dedicated to various aspects of computer vision. At the end of each chapter, you get to see something working. There's not a single chapter that's "dull". It was really fun when I saw the output of the augmented reality code on my own laptop. I would highly recommend this book to people who want to get started with computer vision and OpenCV.