Method and device for selecting local interest points

Abstract

The invention provides a method and a device for selecting local interest points. The method comprises the following steps of: acquiring all the local interest points of an image to be detected and the attributes of each of the local interest points; acquiring the importance of each of the local interest points according to the importance of the attributes; selecting at least one of the local interest points of the image to be detected by a preset selection rule according to the importance of the local interest points, wherein the importance of the attributes is obtained by training the attributes of each of the local interest points in each of a plurality of images; the preset selection rule is that the importance of the local interest points is greater than a set threshold value, and the quantity of the local interest points meets a set range. The local interest points selected by the method above are capable of reflecting the features of the image, and improving the accuracy of image indexing and image matching; meanwhile, local feature descriptors corresponding to the selected local interest points can be further polymerized to obtain global feature descriptors, thus improving the accuracy of the global feature descriptors in image indexing and image matching.

Description

technical field [0001] The invention relates to computer technology, in particular to a method and equipment for selecting local interest points. Background technique [0002] With the development of smart terminals, there are more and more mobile visual search applications. Of course, the selection method of local interest points in mobile visual search has become a research hotspot. For example, the existing method of selecting local interest points that can be realized is: first obtain all interest points of the image, and then use the classifier model to select a fixed number of local interest points among all interest points, and then use the selected local interest points POI implements image retrieval and image matching. [0003] However, the current scheme for selecting local interest points does not take into account the requirements of different types of images for the number of interest points, and cannot select an appropriate number of interest points for diffe...

AI Technical Summary

Problems solved by technology

[0003] However, the current scheme for selecting local interest points does not take into account the requirements of different types of images for the number of interest points, and cannot select an appropriate number of interest points for different types of images

Moreover, image retrieval or image matching is performed based on the local interest points selected in the above manner, resulting in a decrease in accuracy

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