Unlock instant, AI-driven research and patent intelligence for your innovation.

Adaptive lod model construction method based on face clustering

A construction method and self-adaptive technology, applied in 3D image processing, image data processing, instruments, etc., can solve problems such as texture map disorder, poor effect, and building deformation, achieve high algorithm efficiency, improve loading efficiency, The effect of reducing the amount of data

Active Publication Date: 2017-02-15
CHONGQING SURVEY INST
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing architectural model simplification methods use free mesh-based simplification methods, which will cause deformation of the building during the process of deleting or merging surfaces, and the effect is not good; secondly, since architectural models are usually pasted with texture In most of the model simplification methods, the vertex attributes are not considered enough, and the simplification method will cause confusion in texture map coordinates, resulting in texture map confusion, which greatly reduces the quality of model simplification
[0004] LOD models are not loaded efficiently
When many 3D platforms load massive model data, there are problems such as low model loading efficiency, insufficient switching between LOD models, and slow loading and rendering speeds, which affect the visual experience and further industry applications of the 3D platform. How to improve The dynamic throughput speed of the model and the problems that need to be solved to speed up the 3D rendering speed of large scenes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Adaptive lod model construction method based on face clustering
  • Adaptive lod model construction method based on face clustering
  • Adaptive lod model construction method based on face clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0032] Such as figure 1 As shown, an adaptive LOD model construction method based on surface clustering is carried out in the following steps:

[0033] Step 1. Generate shape LOD, generate and optimize texture LOD;

[0034] Described generation shape LOD is carried out according to the following steps:

[0035] A1. Obtain the important factors of each surface;

[0036] A2. Determine the division threshold of important factors and divide the model;

[0037] A3. Generate a simplified model and build a shape LOD;

[0038] Step 2: Use the cumulative method to load the shape LOD, and use the traditional switching method to load the texture LOD.

[0039] Obtaining the important factors of each surface described in step 1 is carried out in the following steps:

[0040] For each face of the building model, define the important factors of its contribution to the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a self-adaption LOD model establishing method based on face clustering and belongs to the field of three-dimensional digital urban and geographic information system. The data volume of an LOD model is decreased. Due to the fact that the simplified LOD model obtained by utilizing the self-adaption LOD model establishing method is a progressive load, each LOD is formed by the partial face of an original model, and vertex attribute disorder is not caused. The self-adaption LOD model establishing method is high in algorithm efficiency, can be used for real-time self-adaption to generate the LOD model and effectively prevents the LOD switching from being excessive and unnatural. Texture optimization is standardized according to texture resolution ratio.

Description

technical field [0001] The invention belongs to the field of three-dimensional digital cities and geographic information systems, and in particular relates to a method for constructing an LOD model. Background technique [0002] LOD (Levels of Detail) is a commonly used 3D model loading idea, and its core lies in generating a good LOD model and a loading strategy for the LOD model. A good model optimization result can improve rendering efficiency under the same loading model; and for the same model, a good loading mode can also improve rendering speed. [0003] Most of the existing architectural model simplification methods use free mesh-based simplification methods, which will cause deformation of the building during the process of deleting or merging surfaces, and the effect is not good; secondly, since architectural models are usually pasted with texture However, in most of the model simplification methods, the vertex attributes are not considered enough, and the simplif...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/04
Inventor 詹勇陈翰新李锋王阳生王昌翰孔维彬胥洪峰
Owner CHONGQING SURVEY INST