Computer Vision Methods for Fast Image Classification and Retrieval by Rafał Scherer

Author:Rafał Scherer
Language: eng
Format: epub
ISBN: 9783030121952
Publisher: Springer International Publishing

3.5 Fast Dictionary Matching

This section describes a method for searching for common sets of descriptors between collections of images. The presented method [24] operates on local interest keypoints, which are generated using the SURF algorithm. The use of a dictionary of descriptors allowed achieving good performance of the image retrieval. The method can be used to initially determine a set of similar pairs of keypoints between images. For this purpose, we use a certain level of tolerance between values of descriptors, as values of feature descriptors are almost never equal but similar between different images. After that, the method compares the structure of rotation and location of interest points in one image with the keypoint structure in other images. Thus, we were able to find similar areas in images and determine the level of similarity between them, even if the images contain different scenes.

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