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Building Computer Vision Projects with OpenCV 4 and C++
book

Building Computer Vision Projects with OpenCV 4 and C++

by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
March 2019
Intermediate to advanced
538 pages
13h 38m
English
Packt Publishing
Content preview from Building Computer Vision Projects with OpenCV 4 and C++

Example comparative performance test of algorithms

As an example, we will set up a scenario where we are required to align overlapping images, like what is done in panorama or aerial photo stitching. One important feature that we need to measure performance is to have a ground truth, a precise measurement of the true condition that we are trying to recover with our approximation method. Ground truth data can be obtained from datasets made available for researchers to test and compare their algorithms; indeed, many of these datasets exist and computer vision researchers use them all the time. One good resource for finding computer vision datasets is Yet Another Computer Vision Index To Datasets (YACVID), https://riemenschneider.hayko.at/vision/dataset/ ...

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Publisher Resources

ISBN: 9781838644673Supplemental Content