Laser & Optoelectronics Progress, Volume. 60, Issue 8, 0811026(2023)
Recognition of Points on Three-Dimensional Edge Contour Lines
Three-dimensional (3D) imaging technology obtains massive points (MPs) of a surface in a very short time. In this study, we recognize points on 3D edge contour lines (ECLs) from MPs of a surface. First, the position features of the points on the ECLs, which are called edge contour points (ECPs), are analyzed, and it is proposed to detect ECPs from the vertical section lines (VSLs) of the ECLs. Then, the position of an ECP needs to be calculated based on the middle point of the chamfered arc (MPCA) on a VSL. Considering the distribution character of points on the CA (PsCA), three methods are proposed here to recognize the MPCA: parabola fitting for its vertex method, calculating the accumulated normal angle (AcNA) of each PsCA for the point whose AcNA is closest to the half central angle of the CA, and calculating the approximate arc length (AAL) of each PsCA for the point whose AAL is closest to the half arc length of the CA. Finally, the effectiveness and accuracy of the three methods are verified on several ECLs.
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Huijie Zhao, Liqun Ma, jingjing Fan, Jihu Wang. Recognition of Points on Three-Dimensional Edge Contour Lines[J]. Laser & Optoelectronics Progress, 2023, 60(8): 0811026
Category: Imaging Systems
Received: Nov. 30, 2022
Accepted: Jan. 17, 2023
Published Online: Apr. 13, 2023
The Author Email: Fan jingjing (jingjingfan@buaa.edu.cn)