March 2020
Intermediate to advanced
366 pages
9h 8m
English
book
OpenCV 4 with Python Blueprints - Second Edition
by Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler
Content preview from OpenCV 4 with Python Blueprints - Second Edition
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Summary
In this chapter, we explored a way of reconstructing a scene in 3D by inferring the geometrical features of 2D images taken by the same camera. We wrote a script to calibrate a camera, and you learned about fundamental and essential matrices. We used this knowledge to perform triangulation. We then went on to visualize the real-world geometry of a scene in a 3D point cloud using simple 3D scatterplots in Matplotlib.
Going forward from here, it will be possible to store the triangulated 3D points in a file that can be parsed by the Point Cloud Library or to repeat the procedure for different image pairs so that we can generate a denser and more accurate reconstruction. Although we have covered a lot in this chapter, there is a lot ...
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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.