分割
计算机科学
点云
人工智能
领域(数学分析)
点(几何)
计算机视觉
图像分割
几何学
数学
数学分析
作者
Jin Hyeok Kim,Inha Lee,Kyungdon Joo
标识
DOI:10.1109/icassp48485.2024.10447659
摘要
Reassembling broken fractures back to their original shape remains a complex challenge. While prior research has demonstrated impressive results in domain-specific assembly, these methods largely depend on human-designed structural priors or struggle with assembling diverse shapes. To tackle this issue, we introduce a new fracture assembly framework based on segmentation and iterative registration, so-called FRASIER. By finding broken regions of fractures by segmentation, FRASIERdramatically increases overlap region ratios between fractures, which allows us to align fractures by registration. In addition, we employ point cloud XOR and beam search to make our framework robust. Experiments demonstrate that FRASIERoutperforms state-of-the-art methods. Project page: https://frasier-assembly.github.io
科研通智能强力驱动
Strongly Powered by AbleSci AI