Web Visualization Application of Large Mesh Models Based on Simplification Algorithms

This paper studies polygon simplification algorithms for 3D models, focuses on the optimization algorithm of quadratic error metric (QEM), explores the impacts of different methods on the simplification of different models, and develops a web-based visualization application. Metrics such as the Hausdorff distance are used to evaluate the balance between the degree of simplification and the retention of model details.

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Publication Details

Journal
Journal of Electronic Research and Application
Published
2025-04-03
DOI
https://doi.org/10.26689/jera.v9i2.10086
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Web Visualization Application of Large Mesh Models Based on Simplification Algorithms

Shumei Shi
Journal of Electronic Research and Application
Big Data Technologies and Applications
article

Web Visualization Application of Large Mesh Models Based on Simplification Algorithms

Shumei Shi
article en

Abstract

This paper studies polygon simplification algorithms for 3D models, focuses on the optimization algorithm of quadratic error metric (QEM), explores the impacts of different methods on the simplification of different models, and develops a web-based visualization application. Metrics such as the Hausdorff distance are used to evaluate the balance between the degree of simplification and the retention of model details.

Journal of Electronic Research and ApplicationVol. 9(2)
Cranfield University (GB)
Openalex Percentile: Top 91%
Big Data Technologies and Applications
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Web Visualization Application of Large Mesh Models Based on Simplification Algorithms — Shumei Shi · Journal of Electronic Research and Application (2025) | TGRS Research Map | TGRS