Fragment Fracture Surface Extraction Algorithm Based on PointNet++
A deep learning based algorithm for extracting fragmented fracture surfaces was proposed to address the issue of cultural heritage restoration.The fracture surfaces of fragments were extracted using a neural network structure based on PointNet++,and tested on the FragTag3D dataset and 3DPuzzle dataset.The results indicate that this method can extract the fracture surfaces of most fragments in these datasets.
deep learningPointNet++semantic segmentationfragment reassemblefracture surface extraction
NETL
NSTL
万方数据
