Abstract
As for rock numerical calculation and stability analysis, it is essential to build a numerical model of rock mass with concise and accurate structure information through the three-dimensional surface reconstruction of rock-mass point clouds. However, the current research on lightweight surface reconstruction of non-artificial objects is very limited. In this paper, an efficient lightweight surface reconstruction method for rock-mass point clouds is proposed. Firstly, the input point cloud is segmented to obtain the plane primitives. In this process, the recognition of texture information and the complete over-segmentation of effective information play a vital role in the high-precision segmentation of rock surfaces. Secondly, the boundaries of all planes are reorganized according to the obvious connectivity in the segmentation results, so as to realize the assembly of the model, while solving all collision problems. Finally, an integer programming model is constructed to screen the best closure scheme of each plane, thus ensuring the best outcome of the reconstruction. In this study, seven groups of natural rock-mass point clouds are used to validate the proposed method. As suggested by the experimental results, this algorithm is effective in compressing the point cloud data of rock mass, to generate a watertight numerical model that can be directly used for simulation calculation. In addition, this method has strong robustness to noise and can effectively deal with highly corrupted rock-mass point cloud data.
Highlights
Academic Editor: Sander OudeWhether an artificial target or a natural target, it is of great significance to obtain its structure information
Since most of the current lightweight surface reconstruction methods are aimed at artificial target data, we choose Polyfit with strong generalization ability as the comparison method of lightweight surface reconstruction
This paper focuses on the efficient lightweight surface reconstruction method of rock mass point cloud
Summary
Academic Editor: Sander OudeWhether an artificial target or a natural target, it is of great significance to obtain its structure information. Point cloud data of some nature targets may carry a certain amount of unavoidable texture information and noise. Different from dense mesh reconstruction technology, lightweight surface reconstruction only focuses on the main structure information of the target. It can better filter the texture information and simplify the complexity of the model. In respect of rock-mass engineering, the significance of constructing a rock mass model with simple and accurate surface information goes further than that Such methods as block theory [9] and discontinuous deformation analysis [10] have been demonstrated as effective in carrying out analysis of the rock masses for their stability [11].
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