Skip to Content
Computer Vision with OpenCV 3 and Qt5
book

Computer Vision with OpenCV 3 and Qt5

by Amin Ahmadi Tazehkandi
January 2018
Intermediate to advanced content levelIntermediate to advanced
486 pages
11h 28m
English
Packt Publishing
Content preview from Computer Vision with OpenCV 3 and Qt5

How to choose an algorithm

As it was mentioned, there is no algorithm that can be easily used for all out-of-the-box cases, and the main reason for this is the huge variety of software and hardware related factors. An algorithm may be highly accurate, but, at the same time, it may require lots of resources (such as memory or CPU usage).

Another algorithm may require fewer parameters (which is almost always a relief), but then again, it may not be able to achieve its highest performance. We can't even begin to name all the possible factors that affect choosing the best Feature2D (or featured detector and descriptor extractor) algorithm or the best matching algorithm, but we can still take into consideration some of the main and more well-known ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Mastering OpenCV 4 - Third Edition

Mastering OpenCV 4 - Third Edition

Roy Shilkrot, David Millán Escrivá
Hands-On Computer Vision with TensorFlow 2

Hands-On Computer Vision with TensorFlow 2

Benjamin Planche, Eliot Andres
OpenCV 4 with Python Blueprints - Second Edition

OpenCV 4 with Python Blueprints - Second Edition

Dr. Menua Gevorgyan, Michael Beyeler (USD), Arsen Mamikonyan, Michael Beyeler

Publisher Resources

ISBN: 9781788472395Supplemental Content