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Learning Opencv 3: Computer Vision In C++ With The Opencv Library
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Get Started In The Rapidly Expanding Field Of Computer Vision With This Practical Guide. Written By Adrian Kaehler And Gary Bradski, Creator Of The Open Source Opencv Library, This Book Provides A Thorough Introduction For Developers, Academics, Roboticists, And Hobbyists. Youll Learn What It Takes To Build Applications That Enable Computers To See And Make Decisions Based On That Data.With Over 500 Functions That Span Many Areas In Vision, Opencv Is Used For Commercial Applications Such As Security, Medical Imaging, Pattern And Face Recognition, Robotics, And Factory Product Inspection. This Book Gives You A Firm Grounding In Computer Vision And Opencv For Building Simple Or Sophisticated Vision Applications. Handson Exercises In Each Chapter Help You Apply What Youve Learned.This Volume Covers The Entire Library, In Its Modern C++ Implementation, Including Machine Learning Tools For Computer Vision. Learn Opencv Data Types, Array Types, And Array Operations Capture And Store Still And Video Images With Highgui Transform Images To Stretch, Shrink, Warp, Remap, And Repair Explore Pattern Recognition, Including Face Detection Track Objects And Motion Through The Visual Field Reconstruct 3D Images From Stereo Vision Discover Basic And Advanced Machine Learning Techniques In Opencv
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does the book have? A: The book has one thousand twenty-two pages. It provides an extensive overview of computer vision and OpenCV.
- Q: What is the binding type of this book? A: The book is paperback. This makes it lightweight and easy to handle for reading or referencing.
- Q: What are the dimensions of the book? A: The book measures seven point one inches in length, two point one inches in width, and nine point three inches in height. These dimensions make it a standard size for a textbook.
- Q: How do I get started with computer vision using this book? A: You start by reading through the chapters that cover OpenCV data types and array operations. The book includes hands-on exercises to practice your skills.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It offers a thorough introduction to computer vision concepts and OpenCV programming.
- Q: Can I use OpenCV for robotics applications? A: Yes, OpenCV is widely used in robotics. This book teaches you how to build applications that can recognize patterns and track objects.
- Q: How should I care for my paperback book? A: Keep the book in a dry place and avoid exposing it to moisture. Store it upright on a shelf to maintain its shape.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for their return policy. Most sellers offer a way to return or replace damaged items.
- Q: How do I clean the book's cover? A: You can clean the book's cover with a slightly damp cloth. Avoid using any harsh chemicals that could damage the material.
- Q: Is this book appropriate for academic use? A: Yes, this book is appropriate for academic use. It covers essential topics in computer vision that are relevant to many courses.
- Q: What topics are covered in the book? A: The book covers topics such as machine learning tools, object tracking, and 3D image reconstruction. It is comprehensive and detailed.
- Q: How does this book compare to other computer vision books? A: This book offers a practical guide with hands-on exercises, making it suitable for both beginners and advanced users. It is authored by experts in the field.
- Q: Is there a warranty for this book? A: Typically, books do not come with a warranty. However, check the seller's return policy for any guarantees.
- Q: What if I need help understanding a concept in the book? A: If you need help, consider joining online forums or study groups focused on OpenCV and computer vision. Many resources are available for additional support.
- Q: Does this book include any online resources? A: No, the book itself does not include online resources. However, you can find supplementary materials and tutorials online to enhance your learning.
- Q: Can I use this book for self-study? A: Yes, this book is ideal for self-study. It is structured to guide you through the fundamentals and practical applications of computer vision.