Heterogeneous 3D Model Compression Method for Mobile Platforms

With the widespread application and increasing performance of mobile devices, the application demand of 3D models on mobile platforms is constantly expanding. Compared with traditional desktop computers and game consoles, the storage and computing resources of mobile devices are relatively limited, so efficient compression of 3D models is particularly important. To meet this demand, this paper proposes a two-stage pipeline large and small core heterogeneous compression scheme based on CPU, which effectively utilizes the heterogeneous multi-core architecture in mobile devices. In the first stage of the pipeline, the large core is used to compress the mesh topology data, while the super large core is used to compress the vertex data in the second stage. In addition, this paper proposes a parallel optimization of the Edgebreaker algorithm and applies it to the compression of mesh topology structures. This scheme significantly optimizes the allocation of computing resources and compression efficiency. Compared with the traditional single-core CPU compression method, the experimental results show that our method is 24% faster in compression speed on average while maintaining the same compression rate.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033302
Primary Topic
Power Systems and Technologies
Type
article
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article

Heterogeneous 3D Model Compression Method for Mobile Platforms

Xunsheng Zhu, Juncong Lin
Power Systems and Technologies
article

Heterogeneous 3D Model Compression Method for Mobile Platforms

Xunsheng Zhu, Juncong Lin
article en

Abstract

With the widespread application and increasing performance of mobile devices, the application demand of 3D models on mobile platforms is constantly expanding. Compared with traditional desktop computers and game consoles, the storage and computing resources of mobile devices are relatively limited, so efficient compression of 3D models is particularly important. To meet this demand, this paper proposes a two-stage pipeline large and small core heterogeneous compression scheme based on CPU, which effectively utilizes the heterogeneous multi-core architecture in mobile devices. In the first stage of the pipeline, the large core is used to compress the mesh topology data, while the super large core is used to compress the vertex data in the second stage. In addition, this paper proposes a parallel optimization of the Edgebreaker algorithm and applies it to the compression of mesh topology structures. This scheme significantly optimizes the allocation of computing resources and compression efficiency. Compared with the traditional single-core CPU compression method, the experimental results show that our method is 24% faster in compression speed on average while maintaining the same compression rate.

Xiamen University (CN)
Openalex Percentile: Top 88%
Power Systems and Technologies
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