Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an automated discontinuity trace mapping method on a 3D surface model of rock mass. Feature points of discontinuity traces are first detected using the Normal Tensor Voting Theory, which is robust to noisy point cloud data. Discontinuity traces are then extracted from feature points in four steps: (1) trace feature point grouping, (2) trace segment growth, (3) trace segment connection, and (4) redundant trace segment removal. A sensitivity analysis is conducted to identify optimal values for the parameters used in the proposed method. The optimal triangular mesh element size is beten 5cm and 6cm; the angle threshold in the trace segment growth step is beten 70? and 90?; the angle threshold in the trace segment connection step is beten 50? and 70?, and the distance threshold should be at least 15 times the mean triangular mesh element size. The method is applied to the excavation face trace mapping of a drill-and-blast tunnel. The results show that the proposed discontinuity trace mapping method is fast and effective and could be used as a supplement to traditional direct measurement of discontinuity traces. An automated discontinuity trace mapping method is presented.The method is robust on noisy point cloud data of rock mass surface.Segmentation of extracted traces is overcomed.Smooth and continuous discontinuity traces can be achieved.This method is applied to excavation face mapping of a rock tunnel.
['Xiaojun Li', 'Jianqin Chen', 'Hehua Zhu']
I am writing a research paper on a idea A new method for automated discontinuity trace mapping on rock mass 3D surface model
[{"from": "human", "value": "I am writing a research paper on a idea A new method for automated discontinuity trace mapping on rock mass 3D surface model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an automated discontinuity trace mapping method on a 3D surface model of rock mass. Feature points of discontinuity traces are first detected using the Normal Tensor Voting Theory, which is robust to noisy point cloud data. Discontinuity traces are then extracted from feature points in four steps: (1) trace feature point grouping, (2) trace segment growth, (3) trace segment connection, and (4) redundant trace segment removal. A sensitivity analysis is conducted to identify optimal values for the parameters used in the proposed method. The optimal triangular mesh element size is beten 5cm and 6cm; the angle threshold in the trace segment growth step is beten 70? and 90?; the angle threshold in the trace segment connection step is beten 50? and 70?, and the distance threshold should be at least 15 times the mean triangular mesh element size. The method is applied to the excavation face trace mapping of a drill-and-blast tunnel. The results show that the proposed discontinuity trace mapping method is fast and effective and could be used as a supplement to traditional direct measurement of discontinuity traces. An automated discontinuity trace mapping method is presented.The method is robust on noisy point cloud data of rock mass surface.Segmentation of extracted traces is overcomed.Smooth and continuous discontinuity traces can be achieved.This method is applied to excavation face mapping of a rock tunnel."}]