| Autor: |
Toro, Javier Villena, Bolin, Lars, Eriksson, Jacob, Wiberg, Anton |
| Předmět: |
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| Zdroj: |
Proceedings of the Design Society; May2024, Vol. 4, p2297-2306, 10p |
| Abstrakt: |
This study emphasizes the importance of automatic synthetic data generation in data-driven applications, especially in the development of a 3D computer vision system for engineering contexts such as brownfield factory projects, where no data is readily available. Key points: (1) A successful integration of a synthetic data generator with the S3DIS dataset, leading to a significant enhancement in object detection of previous classes and enabling recognition of new ones; (2) A proposal for a CAD-based configurator for efficient and customizable scene reconstruction from LiDAR scanner point clouds. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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