OpenCV Blueprints, by Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha
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OpenCV Blueprints, by Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha
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Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 Familiarize yourself with multiple approaches and theories wherever critical decisions need to be made Who This Book Is For This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, more complex, and more practical than the competition. This is an advanced book intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You should be comfortable with computer vision concepts, object-oriented programming, graphics programming, IDEs, and the command line. What You Will Learn Select and configure camera systems to see invisible light, fast motion, and distant objects Build a "camera trap", as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build a panorama Android application using the OpenCV stitching module in C++ with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse style videos In Detail Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move
OpenCV Blueprints, by Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha- Amazon Sales Rank: #1191286 in Books
- Published on: 2015-11-13
- Released on: 2015-11-10
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .90" w x 7.50" l, 1.44 pounds
- Binding: Paperback
- 366 pages
About the Author Joseph Howse Joseph Howse lives in Canada. During the cold winters, he grows a beard and his four cats grow thick coats of fur. He combs the cats every day. Sometimes, the cats pull his beard. Joseph has been writing for Packt Publishing since 2012. His books include OpenCV for Secret Agents, OpenCV 3 Blueprints, Android Application Programming with OpenCV 3, Learning OpenCV 3 Computer Vision with Python, and Python Game Programming by Example. When he is not writing books or grooming cats, Joseph provides consulting, training, and software development services through his company, Nummist Media (http://nummist.com).Steven Puttemans Steven Puttemans is a PhD research candidate at the KU Leuven, Department of Industrial Engineering Sciences. At this university, he is working for the EAVISE research group, which focuses on combining computer vision and artificial intelligence. He obtained a master of science degree in Electronics-ICT and further expanded his interest in computer vision by obtaining a master of science in artificial intelligence. As an enthusiastic researcher, his goal is to combine state-of-the-art computer vision algorithms with real-life industrial problems to provide robust and complete object detection solutions for the industry. His previous projects include TOBCAT, an open source object detection framework for industrial object detection problems, and a variety of smaller computer vision-based industrial projects. During these projects, Steven worked closely with the industry. Steven is also an active participant in the OpenCV community. He is a moderator of the OpenCV Q&A forum, and has submitted or reviewed many bug fixes and improvements for OpenCV 3. He also focuses on putting as much of his research as possible back into the framework to further support the open source spirit. More info about Steven's research, projects, and interests can be found at https://stevenputtemans.github.io.Quan Hua Quan Hua is a software engineer at Autonomous, a start-up company in robotics, where he focuses on developing computer vision and machine learning applications for personal robots. He earned a bachelor of science degree from the University of Science, Vietnam, specializing in computer vision, and published a research paper in CISIM 2014. As the owner of Quan404.com, he also blogs about various computer vision techniques to share his experience with the community.Utkarsh Sinha Utkarsh Sinha lives in Pittsburgh, Pennsylvania, where he is pursuing a master's in computer vision at Carnegie Mellon University. He intends to learn the state of the art of computer vision at the university and work on real-life industrial scale computer vision challenges. Before joining CMU, he worked as a Technical Director at Dream works Animation on movies such as Home, How to Train your Dragon 2, and Madagascar 3. His work spans multiple movies and multiple generations of graphics technology. He earned his bachelor of engineering degree in computer science and his master of science degree in mathematics from BITS-Pilani, Goa. He has been working in the field of computer vision for about 6 years as a consultant and as a software engineer at start-ups. He blogs at http://utkarshsinha.com/ about various topics in technology―most of which revolve around computer vision. He also publishes computer vision tutorials on the Internet through his website, AI Shack (http://aishack.in/).His articles help people understand concepts in computer vision every day.
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Most helpful customer reviews
0 of 1 people found the following review helpful. A nice to have book in your OpenCV books collection By Amazon Customer The book is a very good recipe for those who have prior knowledge of opencv, it covers different subjects related to image processing and computer vision, while at the same time presents complete projects about different computer vision concepts. It provides an easy to follow flow over the text with a step by step explanation. It is not focused only to c++ and opencv development but includes other techniques/methods and technologies as well, e.g. python, android development, etc... Chapter 5 is excellent since it provides really important information and guidance related to machine learning and object detection, something quite interesting to many users, by giving you information related on how to modify settings and parameters for the best outcome. It is a nice to have book in your collection and I would definitely suggest to purchase it without second thoughts.
0 of 0 people found the following review helpful. Lots of content but really messy By lakesouth It's a good book that covers a lot of advanced OpenCV concepts, and the code is available online. That being said, the book is really messy. The different projects are all over the place in terms of programming languages, hardware setups, and difficulty level. The writing style is also noticeably different from chapter to chapter. Some chapters focus extensively on theory, and show code only briefly towards the end. Some concepts are introduced several times, such as the cascade classifier. Not the OpenCV masterpiece that others proclaimed it to be.
0 of 1 people found the following review helpful. Great OpenCV Insights By Steve As a relative newbie to OpenCV, I've read a number of books, tutorials and documentation on OpenCV recently and this is definitely at or near the top of the list for me. I was specifically looking for details on OpenCV training for object detection and Chapter 5 provides everything I was looking for and more. It gets into the specifics on parameter settings, how training works in-depth as well as how to choose appropriate positive and negative training images. The book also had good info relating to camera system basics and automating camera control that that I'll definitely use in my upcoming projects.Overall, I felt this was well worth the money.
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