Three-dimensional point cloud model-based landmark building image classifying method

Abstract

The invention provides a three-dimensional point cloud model-based landmark building image classifying method. The method comprises the following steps of: selecting a representative image of three-dimensional reconstruction of a landmark building image from a marked landmark building image set to perform visual attention analysis; performing three-dimensional reconstruction on the visual attention area in the acquired landmark building image by utilizing a motion from structure method so as to acquire a three-dimensional point cloud model of the landmark building; projecting the three-dimensional point cloud model into a landmark building image corresponding to the three-dimensional point cloud model by utilizing a projection matrix, identifying a whole image and a local image by means of distribution of projection points, selecting part of the local image contributing to three-dimensional reconstruction from the local image type to perform local reinforcement on the three-dimensional point cloud model, projecting the acquired local reinforced landmark building three-dimensional point cloud model into the landmark building image corresponding to the landmark building three-dimensional point cloud model; and extracting a landmark building area of each landmark building image, establishing a K-dimensional searching tree, and acquiring the type of the landmark building image without any type mark by utilizing the K-dimensional searching tree.

Description

technical field [0001] The invention belongs to the technical field of computer vision and multimedia analysis, and relates to a landmark building image classification method based on a three-dimensional point cloud model. Background technique [0002] With the development of image sharing sites such as Facebook and Flickr, more and more travel images are uploaded to the web. Among these tourism images, images of landmark buildings (such as figure 1 ) is one of the most attractive of them all. Some images of landmark buildings have been annotated when they are uploaded, but more images are not annotated. Since landmark building images are in different environments when shooting, such as lighting, viewing angle, lens zooming in and occlusion, etc., such as figure 1 Shown in the middle: the Capitol building in the upper picture of the U.S. Congress, the lower picture shows the Capitol building zoomed in; the upper picture in the picture of the Leaning Tower of Pisa shows a ...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the technical problem of low accuracy in the classification of landmark building images in the prior art, the purpose of the present invention is to propose a method of using a 3D point cloud model to describe and collect landmark building features to improve the classification results of landmark building images. A Landmark Image Classification Method Based on 3D Point Cloud Model

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