In the application of computer vision guidance and detection, the extraction of three-dimensional point cloud features is a key part. The quality of point cloud boundary features seriously affects the effectiveness of point cloud segmentation, shape search and other algorithms.

2024/06/2303:57:32 technology 1078

In the application of computer vision guidance and detection, the extraction of three-dimensional point cloud features is a key part. The quality of point cloud boundary features seriously affects the effectiveness of point cloud segmentation, shape search and other algorithms.

来高| Boundary recognition problem

When scanning some highly reflective workpieces with narrow gaps, the point clouds at the gaps will be very sparse, as shown below:

In the application of computer vision guidance and detection, the extraction of three-dimensional point cloud features is a key part. The quality of point cloud boundary features seriously affects the effectiveness of point cloud segmentation, shape search and other algorithms. - DayDayNews

If you directly scan these Point cloud for boundary recognition, Many boundary features will be lost, as shown below:

In the application of computer vision guidance and detection, the extraction of three-dimensional point cloud features is a key part. The quality of point cloud boundary features seriously affects the effectiveness of point cloud segmentation, shape search and other algorithms. - DayDayNews

At this time, the boundary of the workpiece is not obvious, which directly affects subsequent feature matching and the positioning and grabbing of the robot. Carefully studying the characteristics of these workpieces, we can find that the color difference at the edges of these gaps is obvious in the two-dimensional picture.

Laigao | Solution

Laigao High-tech uses the Techlego three-dimensional scanning software to provide the boundary recognition algorithm combines three-dimensional and two-dimensional, and the final boundary point cloud is as shown below:

In the application of computer vision guidance and detection, the extraction of three-dimensional point cloud features is a key part. The quality of point cloud boundary features seriously affects the effectiveness of point cloud segmentation, shape search and other algorithms. - DayDayNews

The workpiece has clear outline and obvious boundary features. , which lays the foundation for subsequent feature matching and robot positioning and grabbing. At this time, the shape search is performed on the point cloud with clear boundaries, and the result is very accurate.

来高|Class summary

Boundary recognition is the prerequisite for many visual processing, and many algorithms rely on the results of boundary recognition. Techlego 3D scanning software provides many rich machine vision-related algorithms, which can be applied to fields such as 3D intelligent detection, identification, and robot automation linkage control for efficient development.

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