Documentation of 'boofcv.examples.features.ExampleAssociatePoints' Java class
ExampleAssociatePoints
boofcv.examples.features

Class ExampleAssociatePoints<T extends ImageGray,TD extends TupleDesc>



  • public class ExampleAssociatePoints<T extends ImageGray,TD extends TupleDesc>
    extends java.lang.Object
    After interest points have been detected in two images the next step is to associate the two sets of images so that the relationship can be found. This is done by computing descriptors for each detected feature and associating them together. In the code below abstracted interfaces are used to allow different algorithms to be easily used. The cost of this abstraction is that detector/descriptor specific information is thrown away, potentially slowing down or degrading performance.
    • Method Detail

      • associate

        public void associate(java.awt.image.BufferedImage imageA,
                              java.awt.image.BufferedImage imageB)
        Detect and associate point features in the two images. Display the results.
      • main

        public static void main(java.lang.String[] args)

DataMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.