Simplification of 3D point cloud data based on ray theory
Changsu Liao1, Xiaojing Niu1, Meili Wang1, Dongjian He2
1College of Information Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
2Mechanical and Electronic Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
To effectively reduce the amount of 3D point cloud data, whose shape is symmetrical or spherical, this paper proposes an efficient simplification algorithm based on ray theory. Meanwhile, a boundary retention method based on the distribution uniformity of neighbouring data points is used to keep the model complete. Avoiding time-consuming recursion and curvature estimation, the proposed method is much efficient and achieves good simplification results.