Vision correlation model progressive rendering method on three-dimensional scene

Abstract

The invention discloses a vision correlation model progressive rendering method on a three-dimensional scene. The main concept is that a vision correlation factor is calculated according to the distance from a view point to a target, LOD rendering is carried out on geometric data and texture data of a model, the rendering process of the model is controlled through an synchronization strategy and a view point correlation sorting algorithm, and therefore the problems that an existing large-scale three-dimensional model is low in rendering speed, occupies too many system resources such as the inner memory and video memory, has too many rendering areas, is unsmooth in rendering, has the phenomenon of visual mutation, is low in efficiency and the like are resolved.

Description

technical field [0001] The invention relates to a model progressive rendering method, in particular to a visually relevant model progressive rendering method in a three-dimensional scene. Background technique [0002] In a 3D scene, models are used to represent spatial entities. Model data in a 3D scene generally includes geometric data (mesh data) and texture material data (maps, colors, etc.). The face data reflects the shape of the model, and the texture material data makes the surface of the model more realistic and vivid. [0003] With the continuous development of satellite remote sensing technology, aerospace photography technology, laser scanning technology and artificial modeling technology, the production scale of 3D model data is getting larger and larger, and the number of models to be displayed in virtual reality systems, digital cities, and 3D GIS systems is also increasing. more and more. There are many defects in the traditional 3D visualization system: 1. ...

AI Technical Summary

Problems solved by technology

There are many defects in the traditional 3D visualization system: 1. The data is all loaded in when the system is started, resulting in too long waiting time or even unable to complete because it exceeds the throughput of the system; 2. The rendering is based on the needs of the current scene. The synchronous loading strategy loads the geometric data and texture data of the model, resulting in unsmooth rendering and prone to stuttering; 3. If the asynchronous loading strategy is adopted, but the most detailed data is added to the system at one time, resulting in memory and graphics card The computing resource consumption is too large, the number of rendered patches is too large, and the rendering efficiency is low; 4. During the loading and rendering process of the model, the data that needs to be loaded is not sorted, resulting in low loading efficiency; 5. The model is not Preprocessing the texture and patch data cannot reduce the resource consumption of the graphics card and memory for model rendering; 6. There are multiple levels of display, but the gradient display is not considered, and the display mutation is not soft enough

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