FARO User Conference. Test of checkerboard targets. 6. Adapters & other . Amount of points is important: FARO sphere has less points resulting from. Where can I find or order numbered checkerboard targets? We are currently using some FARO Europe GmbH & Co. KG [email protected] Purchase 3D Faro Scan Target Sets ready for use on site for interior 3D Scanner Checkerboard Targets for use with Faro Focus 3Ds / X Scanners.
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Skip to main content. If you use chfckerboard checkerboard targets, please activate the box. Rent a laser scanner including training at little cost. Technical consulting in laser scanning. For testing the small checkerboards, we chose the following arrangement: How can I change the default setting of the placement of scans? The detection of small targets by means of automatic target detection works very great at a distance of 7.
Principle of detection of checkerboard targets in FARO Scene
Don’t hesitate to subscribe to our newsletter! Are you interested in news about our products and events? If you use checkerboard targets in scan projects, please note the following explanations and hints for scanning and registration in FARO Scene:.
This way, point clouds can be merged even at medium-sized distances. Are you interested in news about our products and events? The software FARO Scene calculates fixed checkerboard targets EasyTargets, magnetic targets and pivotable checkerboard targets small and large checkerboards, pivoted checkerboard in different ways.
The objective was to make out chwckerboard the detection of targets behaves with increasing distance to the scanner. The center of the checkerboard target is calculated by means of edge detection.
Don’t hesitate to subscribe to our newsletter! As might be expected, the visibility decreases with increasing distance. Alternatively, you can use pivotable checkerboards, in other words the checkerboard is oriented towards the scanner small checkerboards checkernoard, large checkerboardspivoted checkerboards. When you update the ScanManager, you can also deactivate the box. Newsletter Are you interested in news about our products and events?
Testing of laser scanning checkerboard targets – A comparison of targets | Laserscanning Europe
There are no results for distances of 7. In case of pivoted checkerboards, the normal changes and wouldn’t checkerbpard detected anymore in Scene!!! Detection works for almost all selected resolutions. Detection of large targets by use chec,erboard automatic target detection works great at a distance of The adjustment can be done in the default scan settings or manually for each scan placement.
If you use pivoted checkerboard targets orientation towards the scanneryou should deactivate the box “Use Checkerboard Normals” in the default setting of placement of scans in Scene Software.
Test set-up For testing the large checkerboard targets, we have chose the following set-up: That’s why you have to pay regard to the default setting of scan placement: Newsletter Are you interested in news about our products and events? Testing of laser scanning checkerboard targets – A comparison of targets Testing of laser scanning checkerboard targets – A comparison of targets Testing of laser scanning checkerboard targets – A comparison of targets In the scope of a comparison, we have tested two checkerboard targets from our range of targets marks.
That’s why you have to pay regard to the default setting of scan placement:. Buy accessories in our online shop. Since the “large” target is significantly larger than the “small” one, more scanning points can be found on the large target. It can be supposed that the large targets are visible even at distances of about 50 meters.
Skip checkdrboard main content. Using the calculated normal of a checkerboard target, the software can realize a better attribution among the targets. Checkerboard targets can be fixed to walls or the like magnetic checkerboardsEasyTargets.
The better the line between black and white is identified, the better the calculated center is in the real center. That means we simply click on the target and an algorithm searches the intersection point of both black rectangles.
