Automated conversion of 3D mesh car models into LEGO brick sets using voxel-based optimization

The transformation of 3D mesh car models into LEGO-compatible designs requires optimizing structural integrity, brick placement, and computational efficiency. This paper presents an algorithm specifically designed to convert polygonal car meshes into structurally sound LEGO representations. The approach involves voxelization, heuristic-based component mapping, and optimization techniques to ensure connectivity and maintain key design features. Using Blender for pre-processing and voxel-based methods for brick placement, the algorithm prioritizes larger LEGO elements to enhance stability and reduce part count. The proposed method is tested on various car models, demonstrating its ability to generate LEGO-compatible structures while preserving essential visual and functional details. The findings highlight potential applications in automated LEGO set design.

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2025-08-07
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
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article

Automated conversion of 3D mesh car models into LEGO brick sets using voxel-based optimization

Repository of the University of Ljubljana (University of Ljubljana)
Computational Geometry and Mesh Generation
article

Automated conversion of 3D mesh car models into LEGO brick sets using voxel-based optimization

article en

Abstract

The transformation of 3D mesh car models into LEGO-compatible designs requires optimizing structural integrity, brick placement, and computational efficiency. This paper presents an algorithm specifically designed to convert polygonal car meshes into structurally sound LEGO representations. The approach involves voxelization, heuristic-based component mapping, and optimization techniques to ensure connectivity and maintain key design features. Using Blender for pre-processing and voxel-based methods for brick placement, the algorithm prioritizes larger LEGO elements to enhance stability and reduce part count. The proposed method is tested on various car models, demonstrating its ability to generate LEGO-compatible structures while preserving essential visual and functional details. The findings highlight potential applications in automated LEGO set design.

Repository of the University of Ljubljana (University of Ljubljana)
Openalex Percentile: Top 32%
Computational Geometry and Mesh Generation
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