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arXiv (Cornell University)
GPT-based Textile Pilling Classification Using 3D Point Cloud Data
August 2024 • Lu Yu, Yuyu Chen, Gang Zhou, Zhenghua Lan
Textile pilling assessment is critical for textile quality control. We collect thousands of 3D point cloud images in the actual test environment of textiles and organize and label them as TextileNet8 dataset. To the best of our knowledge, it is the first publicly available eight-categories 3D point cloud dataset in the field of textile pilling assessment. Based on PointGPT, the GPT-like big model of point cloud analysis, we incorporate the global features of the input point cloud extracted from the non-parametric …
Point Cloud
Textile
Computer Science
Artificial Intelligence
Data Mining
Geography
Mathematics
Archaeology
Geometry