Edge detection method and system based on handheld three-dimensional scanner
An edge detection and scanner technology, applied in instruments, measuring devices, optical devices, etc., can solve the problems of edge mismatch, inaccurate edge detection and recognition, long response time, etc., to avoid mismatches, respond quickly, and detect high precision effect
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Embodiment 2
[0071] This embodiment is based on a handheld 3D scanner for positioning using marker points, and the handheld 3D scanner includes at least one structured light projector, at least two cameras, and a calculator for 3D digital image processing. The scanner comes with one or more light sources capable of simultaneously illuminating the mark point and the edge of the workpiece under test. The mark point can be a diffuse reflective mark point, a retroreflective mark point or a self-luminous mark point.
[0072] see figure 2 , the scanning steps of this embodiment are:
[0073] S11. Control the two cameras of the scanner to shoot synchronously, and obtain two 2D images of the scanned object at different viewing angles.
[0074] S12. According to the two 2D images, respectively identify and acquire edge curves of the scanned object, and extract marker points;
[0075] Specifically, under the illumination of the light source, the 2D image is converted into a feature image, and the...
Embodiment 3
[0084] This embodiment is based on a handheld 3D scanner that utilizes a tracker for positioning. The handheld 3D scanner includes at least one structured light projector, at least two cameras, a number of positioning features that can be captured by the tracker, and three-dimensional digital Image processing computer. The tracker includes at least one tracking camera capable of capturing and recording the pose and position of the handheld 3D scanner in real time.
[0085] see image 3 , the scanning steps of this embodiment are:
[0086] S21. Control the two cameras of the scanner to shoot synchronously, and obtain two 2D images of the same scanned object at different viewing angles.
[0087] S22. According to the two 2D images, respectively identify and acquire edge curves of the scanned workpiece;
[0088] Under the illumination of the light source, the 2D image is converted into a feature image, and the image is segmented, then processed by an edge extraction algorithm,...
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