Real-time three-dimensional visualization method of large-scale scene city building based on spatial cognition

Abstract

The invention relates to a real-time three-dimensional visualization method of a large-scale scene city building based on spatial cognition. The method is based on a gestalt psychology and a city image theory. A single chain clustering method is used to cluster large-scale building models. Delaunay triangulation and broken line simplification methods are used to rapidly combine and simplify a classification result so as to establish a multiple-level of detail model of the city building and realize interactive three-dimensional visualization of the large-cene and high-density city building. The method provided in the invention accords with principles of approach, similarity, syntropy and the like in the gestalt theory and simultaneously essential factors, such as a city road, a boundary, a landmark city image and the like, can be maintained.

Description

1. Technical field [0001] The invention relates to a method for real-time three-dimensional visualization of large-scene urban buildings based on spatial cognition, and belongs to the field of spatial information technology. 2. Background technology [0002] In the 3D digital city, the architectural model, as an important embodiment of the city's characteristics, is its most important component. On the premise of maintaining a certain spatial geometric accuracy, visually expressing the architectural entities of large scenes, so that it meets people's visual habits, conforms to people's objective impression of the city, and helps people obtain urban spatial information accurately and quickly. Important research content in the field of cognition and computer vision. In order to speed up the visualization of large scenes and high-density urban buildings and realize real-time interactive operation, it is necessary to simplify the building model and establish a level of detail m...

AI Technical Summary

Problems solved by technology

Applying the traditional method to simplify a single building model sequentially cannot effectively improve the speed of visualization, so the research on building model simplification mainly focuses on the merging and synthesis of adjacent buildings

A very important part of the research on map synthesis is the synthesis of buildings, but two-dimensional map synthesis usually introduces new vertices, and the introduction of new vertices will inevitably increase the amount of data. Will cause reduction in transmission and display efficiency

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