Before we delve into the implementation of a SfM pipeline, let's revisit some key concepts that are an essential part of the process. The foremost class of theoretical topics in SfM is epipolar geometry (EG), the geometry of multiple views or MVG, which builds upon knowledge of image formation and camera calibration; however, we will only brush over these basic subjects. After we cover a few basics in EG, we will shortly discuss stereo reconstruction and look over subjects such as depth from disparity and triangulation. Other crucial topics in SfM, such as Robust Feature Matching, are more mechanical than theoretical, and we will cover them as we advance in coding the system. We intentionally leave out some very interesting topics, such as camera resectioning, PnP algorithms, and reconstruction factorization, since these are handled by the underlying...
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Mastering OpenCV 4
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Mastering OpenCV 4
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Overview of this book
Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.
You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects.
By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)
Preface
Free Chapter
Cartoonifier and Skin Color Analysis on the RaspberryPi
Explore Structure from Motion with the SfM Module
Face Landmark and Pose with the Face Module
Number Plate Recognition with Deep Convolutional Networks
Face Detection and Recognition with the DNN Module
Introduction to Web Computer Vision with OpenCV.js
Android Camera Calibration and AR Using the ArUco Module
iOS Panoramas with the Stitching Module
Finding the Best OpenCV Algorithm for the Job
Avoiding Common Pitfalls in OpenCV
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