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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

FAST

The FastFeatureDetector class can be used to detect features from an image using the FAST method (Features from Accelerated Segment Test). The FAST and AGAST algorithms share a lot since both are methods that use Accelerated Segment Test, and this is obvious even in the OpenCV implementation and how this class is used. Make sure to refer to the paper for this algorithm to learn more about its details; however, we'll be focusing on how it's used with another example:

And, here is the source code for such a user interface that uses the FAST algorithm to detect keypoints from an image. All three parameters are identical in meaning to that ...

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Publisher Resources

ISBN: 9781788472395Supplemental Content