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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Algorithm options in OpenCV
OpenCV has many algorithms covering the same subject. When implementing a new processing pipeline, sometimes there is more than one choice for a step in the pipeline. For example, in Chapter 14, Explore Structure from Motion with the SfM Module, we made an arbitrary decision to use AKAZE features for finding landmarks between the images to estimate camera motion, and sparse 3D structure, however; there are many more kinds of 2D features available in OpenCV's features2D module. A more sensible mode of operation should have been to select the type of feature algorithm to use based on its performance, with respect to our needs. At the very least, we need to be aware of the different options.
Again, we looked to create ...
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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.