Hierarchical landmark identification method integrating global visual characteristics and local visual characteristics

Abstract

The invention discloses a hierarchical landmark identification method integrating global visual characteristics and local visual characteristics. High-dimensional characteristic vectors of landmark images are obtained and are used as the global visual characteristics of the landmark images; the local visual characteristics of the landmark images are obtained; the global visual characteristics andthe local visual characteristics are stored by adopting a hierarchical tree-shaped structure, and a visual characteristic set is obtained; each image is characterized according to the visual characteristic set; the images are pre-retrieved according to the global visual characteristics xi, and first candidate images are obtained; the first candidate images are further retrieved according to statistical characteristics vi of local outstanding points, and second candidate images are obtained; and the second candidate images are further retrieved according to a characteristic set yi of the localoutstanding points, and final candidate images are obtained and are fed back to a user. By adopting the hierarchical landmark identification method, the images to be identified can be rapidly and accurately retrieved, so the requirement of the user for convenient information acquisition is satisfied; and besides, through removing certain mismatching points, the landmark identification accuracy isimproved and the landmark identification complexity is reduced.

Description

technical field [0001] The invention relates to the field of image retrieval, in particular to a hierarchical landmark recognition method integrating global and local visual features. Background technique [0002] In recent years, with the rapid development of the tourism industry, convenient travel navigation equipment has become an indispensable tool for users. Usually, when a user faces a scenic spot during travel, he not only needs to know the landmark name of the scenic spot, but also needs to know its related information. However, the traditional satellite-based GPS positioning system can often only provide the function of locating its built-in geographic information, and its positioning accuracy and expansibility have serious limitations, which cannot meet the individual needs of users. Therefore, it has become an urgent problem to establish a landmark recognition method for personalized scenic spots for different tourist attractions, so that users can input descript...

AI Technical Summary

Problems solved by technology

The landmark recognition methods in the prior art all input the text description information of things, but the information contained in the text information is very limited, and the descriptions of the same thing by different users are also varied, which seriously limits the accuracy of landmark recognition. Increased the complexity of landmark recognition, unable to meet the needs of practical applications;

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