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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

The 2D Features Framework

As it was mentioned previously in this chapter, OpenCV provides classes to perform various feature detection and descriptor extraction algorithms created by computer vision researchers from all across the world. Just like any other complex algorithm implemented in OpenCV, feature detectors and descriptor extractors are also created by subclassing the cv::Algorithm class. This subclass is called Feature2D, and it contains various functions that are common to all feature detection and descriptor extraction classes. Basically, any class that can be used to detect features and extracts descriptors should be a subclass of Featured2D. OpenCV uses the following two class types for this purpose:

  • FeatureDetector
  • DescriptorExtractor ...
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Publisher Resources

ISBN: 9781788472395Supplemental Content