Abstract
Cutting Plane Based Cylinder Fitting Method With Incomplete Point Cloud Data for Digital Fringe Projection
Highlights
The three-dimensional measurement technology based on digital fringe projection (DFP) [1]–[4] has the characteristics of non-contact, flexible generation of fringe, high measurement accuracy, high cloud density, high measurement efficiency, etc., which has been widely applied in the field of object shape measurement [5], [6], reverse engineering [7], [8], face recognition [9], food detection [10], entertainment [11], etc
In order to solve the problem of large cylinder fitting error for incomplete point cloud, we propose the cylinder fitting method based on the cutting plane
When the fringe projection system is used to measure the three-dimensional cylinder, some problems such as noise, uneven sampling density and occlusion will lead to incomplete point cloud data information, and the point cloud data is polluted by outliers
Summary
The three-dimensional measurement technology based on digital fringe projection (DFP) [1]–[4] has the characteristics of non-contact, flexible generation of fringe, high measurement accuracy, high cloud density, high measurement efficiency, etc., which has been widely applied in the field of object shape measurement [5], [6], reverse engineering [7], [8], face recognition [9], food detection [10], entertainment [11], etc. Many experts and scholars have studied the use of digital fringe projection technology for three-dimensional measurement of cylinder objects, and applied the three-dimensional point cloud data fitting method for object detection and parameters estimation [12]–[14]. RANSAC algorithm is used to analyze the cluster of ellipse center points to get the ‘‘inner points’’, and the least square cylinder axis fitting method is applied for axis direction vector of the ‘‘inner points’’. For fringe projection 3D measurement, in order to solve the problem of low fitting accuracy of incomplete point cloud data with outliers, cutting plane based cylinder fitting method with incomplete point cloud data is proposed. The proposed CPCF method can obtain cylindrical parameters with high precision and high robustness, which can be used for cylinder fitting, and for other rotational body fitting with incomplete point cloud data
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