Robust automatic registration and analysis of 3D point cloud data

Smart processing of 3D point clouds
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kristinavladova
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Robust automatic registration and analysis of 3D point cloud data

Post by kristinavladova »

Developed by Correvate, Vercator software is technology that has been spun-out of UCL. The company vision is to improve geospatial understanding by delivering unrivalled 3D point cloud data processing. The new software delivers fast, automatic 3D point cloud registration and data processing by exploiting an innovative approach which utilises natural features in the environment to register data sets. Accuracy is enhanced as a result with traceable, repeatable reporting. Initially targeted at the construction sector, Vercator Desktop promises to improve the productivity of BIM users in the supply chain. The software improves the time-consuming scanning phase and simplifies the reality capture process through:

• Eliminating the need for artificial targets during scanning
• Automating 3D dataset registration using natural targets
• Compatibility with common data sources and formats
• Significantly reducing data registration and processing time
• Enhancing accuracy with traceable, repeatable reporting

In the approach presented by Vercator, vectors in overlapping scans are matched and brought into alignment, first to perform rotation alignment, and then translation alignment in the horizontal plane, followed by translation alignment in the vertical plane. In fact, such vectors are calculated and found at every point. Typically there are 10’s of millions of natural targets in each scan compared to the 10’s of artificial targets or natural targets marked by eye in other approaches, resulting in fewer misalignments.

When compared to traditional methods, Vercator Desktop’s automatic scan alignment significantly reduces registration time, although exactly how long the registration process will take depends on the quantity and complexity of the scans. However, the time-saving benefit increases in line with the number of scans to be processed, bringing greater savings on larger projects. Tests to date have seen results of up to a 90% time-saving when compared to conventional alignment, although not at the expense of accuracy. This means users spend less time staging a scan, less time extrapolating the data, but still yielding reliable and robust results to within an accuracy of ±2mm.

Currently, Vercator Desktop supports the following file formats for data input: xyz, ply, ptx, e57, fls; and xyz, ply for output. The software also supports the most common terrestrial laser scanners, allowing users to easily transfer and register data. File formats are under a continuous improvement programme to extend compatibility further, so additional improvements will follow in the near future.

You can find out more at: https://vercator.com/technology/

And apply for a free trial at: https://info.vercator.com/free-trial
Last edited by kristinavladova on Thu Nov 08, 2018 1:55 pm, edited 1 time in total.

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infrared_sight
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Re: Robust automatic registration and analysis of 3D point cloud data

Post by infrared_sight »

The basic workflow:

youtu.be/n3y1ZYif0kU

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