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Computer Vision with OpenCV 3 and Qt5

You're reading from   Computer Vision with OpenCV 3 and Qt5 Build visually appealing, multithreaded, cross-platform computer vision applications

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472395
Length 486 pages
Edition 1st Edition
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Author (1):
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Amin Ahmadi Tazehkandi Amin Ahmadi Tazehkandi
Author Profile Icon Amin Ahmadi Tazehkandi
Amin Ahmadi Tazehkandi
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Table of Contents (19) Chapters Close

Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface
1. Introduction to OpenCV and Qt 2. Creating Our First Qt and OpenCV Project FREE CHAPTER 3. Creating a Comprehensive Qt+OpenCV Project 4. Mat and QImage 5. The Graphics View Framework 6. Image Processing in OpenCV 7. Features and Descriptors 8. Multithreading 9. Video Analysis 10. Debugging and Testing 11. Linking and Deployment 12. Qt Quick Applications 1. Other Books You May Enjoy

Summary


Feature detection, description, and matching are probably some of the most important and hot topics in computer vision that are still in intensive progress and improvement. The algorithms that were presented in this chapter are but a fraction of the existing algorithms in the world, and the reason that we chose to present them is the fact that they are all more or less free to use by the public, and also the fact that they are included in OpenCV by default, under the feature2d module. If you are interested in learning about more algorithms, you can also check out Extra 2D Features Framework (xfeature2d), which contains non-free algorithms such as SURF and SIFT, or other algorithms still in experimental states. Of course, you need to separately download and add them to the OpenCV source code before building them to include their functions in your OpenCV installation. It is also recommended. However, also make sure to try out the algorithms you learned about in this chapter using different...

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