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

KAZE and AKAZE

The KAZE and AKAZE (Accelerated KAZE) classes can be used to detect features using the KAZE algorithm (an accelerated version of it). For more information about the details of the KAZE and AKAZE algorithms, refer to the papers mentioned in the following reference papers list. Similar to what we saw with AGAST, we can use the default set of parameters and simply call the detect function, or we can get the required parameters using proper Qt widgets and control the behavior of the algorithm even further. Here's an example:

Main parameters in both AKAZE and KAZE are as follows:

  • nOctaves, or Nr. of Octaves (4 by default), can be ...
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