Detail-preserving simplification of textured mesh models for natural objects

The Quadric Error Metrics (QEM) algorithm is widely used for 3D mesh simplification, but it struggles with models containing discontinuous appearance attributes and often fails to preserve fine local details. To address these issues, we propose a textured mesh simplification method that incorporates multiple feature constraints. The approach introduces tailored edge collapse rules and a new error metric, the seam angle error, to handle discontinuous texture regions. In addition, vertex sharpness and texture complexity are employed to enhance the algorithm’s sensitivity to geometric and textural details. Experimental results demonstrate that the proposed method effectively reduces texture distortion at seams. Specifically, at an 80% simplification rate, our method reduces the texture root mean square (RMS) error by approximately 78% compared to T-QEM. While this approach incurs a slight increase in global geometric error, it significantly preserves local visual details and texture continuity.

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Publication Details

Journal
Scientific Reports
Published
2026-03-16
DOI
https://doi.org/10.1038/s41598-026-43736-w
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Detail-preserving simplification of textured mesh models for natural objects

Yuangang Liu, Li Shaohua, Liang Bo, Ao Jingcheng
Scientific Reports
Computer Graphics and Visualization Techniques
article

Detail-preserving simplification of textured mesh models for natural objects

Yuangang Liu, Li Shaohua, Liang Bo, Ao Jingcheng
article en

Abstract

The Quadric Error Metrics (QEM) algorithm is widely used for 3D mesh simplification, but it struggles with models containing discontinuous appearance attributes and often fails to preserve fine local details. To address these issues, we propose a textured mesh simplification method that incorporates multiple feature constraints. The approach introduces tailored edge collapse rules and a new error metric, the seam angle error, to handle discontinuous texture regions. In addition, vertex sharpness and texture complexity are employed to enhance the algorithm’s sensitivity to geometric and textural details. Experimental results demonstrate that the proposed method effectively reduces texture distortion at seams. Specifically, at an 80% simplification rate, our method reduces the texture root mean square (RMS) error by approximately 78% compared to T-QEM. While this approach incurs a slight increase in global geometric error, it significantly preserves local visual details and texture continuity.

Scientific Reports
Yangtze University (CN), China University of Geosciences (CN), Second Hospital of Liaohe Oilfield (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
Computer Graphics and Visualization Techniques
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