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Mastering OpenCV 4 with Python

You're reading from   Mastering OpenCV 4 with Python A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Length 532 pages
Edition 1st Edition
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Author (1):
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Alberto Fernández Villán Alberto Fernández Villán
Author Profile Icon Alberto Fernández Villán
Alberto Fernández Villán
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Introduction to OpenCV 4 and Python FREE CHAPTER
2. Setting Up OpenCV 3. Image Basics in OpenCV 4. Handling Files and Images 5. Constructing Basic Shapes in OpenCV 6. Section 2: Image Processing in OpenCV
7. Image Processing Techniques 8. Constructing and Building Histograms 9. Thresholding Techniques 10. Contour Detection, Filtering, and Drawing 11. Augmented Reality 12. Section 3: Machine Learning and Deep Learning in OpenCV
13. Machine Learning with OpenCV 14. Face Detection, Tracking, and Recognition 15. Introduction to Deep Learning 16. Section 4: Mobile and Web Computer Vision
17. Mobile and Web Computer Vision with Python and OpenCV 18. Assessments 19. Other Books You May Enjoy

Marker-based augmented reality

In this section, we are going to see how marker-based augmented reality works. There are many libraries, algorithms, or packages that you can use to both generate and detect markers. In this sense, one that provides state-of-the-art performance in detecting markers is ArUco.

ArUco automatically detects the markers and corrects possible errors. Additionally, ArUco proposes a solution to the occlusion problem by combining multiple markers with an occlusion mask, which is calculated by color segmentation.

As previously commented, pose estimation is a key process in augmented reality applications. Pose estimation can be performed based on markers. The main benefit of using markers is that they can be both efficiently and robustly detected in the image where the four corners of the marker can be accurately derived. Finally, the camera pose can be obtained...

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