March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Core concepts of SfM
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 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.