Method and device for positioning and identifying building based on intelligent terminal

Abstract

The invention discloses a method and device for positioning and identifying a building based on an intelligent terminal. The method comprises the steps that the intelligent terminal takes the picture of the target building and extracts the top outline of the target building in the picture; the map of the position where the picture is taken is acquired, and buildings in the map are taken as candidate buildings; the building with a top outline best matched with that of the target building is determined from the candidate buildings, and the target building is positioned and identified according to the position information of the building. According to the technical scheme, the target building can be positioned and identified quickly based on a single picture of the target building, time delay is low, a pre-arranged database is not needed, and identification accuracy is high.

Description

Technical field [0001] The present invention relates to the technical field of positioning, in particular to a method and device for identifying buildings based on intelligent terminal positioning. Background technique [0002] In daily life, mobile smart terminal users may be interested in a target building within their sight but far away, and want to know what the target building is, how to reach the target building, and what are there The business, restaurant, or company is in the target building. For example, when a mobile smart terminal user travels in New York City, he can easily recognize some famous landmark buildings, such as the Empire State Building and the Freedom Tower in New York. However, he also wants to learn about other buildings that are not well-known in his sight. These buildings may be far away from the user, walk over to confirm that those buildings are troublesome. When asking for help from local residents, there may also be difficulties in language exc...

AI Technical Summary

Problems solved by technology

Another method is to use a pre-deployed image database marked with GPS locations. When the user takes a photo of the target building, the image is searched and matched in the image database, and the GPS tag of the closest image is used as the target. The GPS position of the building; but the limitation of this method is that the number of pictures in the picture database is limited, and once the matching is wrong, the positioning error will be very large

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