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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Summary
This chapter introduced two key topics in computer vision: camera calibration and camera/object pose estimation. We saw the theoretical background for achieving these concepts in practice, as well as their implementation in OpenCV using the aruco contrib module. Finally, we built an Android application that runs the ArUco code in native functions to calibrate the camera and then detect the AR marker. We used the jMonkeyEngine 3D rendering engine to create a very simple augmented reality application using ArUco calibration and detection.
In the next chapter, we will see how to use OpenCV in an iOS app environment to build a panorama stitching application. Using OpenCV in a mobile environment is a very popular feature of OpenCV, as ...
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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.