Correvate Vercator 2.2.37 .

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Correvate Vercator 2.2.37 .

Correvate Vercator 2.2.37 | 246.1 mb

Correvate Limited has released an update to Vercator 2.2. This latest release includes engine improvements, a graphical scan network editor and Z+F support.

What's New in Vercator Desktop version 2.2.(37):

2.2.37
- Recap rcs bugfix where intensity was not written if rgb colour existed
2.2.33
- Riegl rdbx support added
- Fine registration optimisation to handle very large high resolution scans
- Scan network markers drift bugfix
- FLS reader cleanup bugfix
2.2.25
- Export support for Autodesk Recap rcs files
- Minor stability update to fine registration
2.2.9
- Ability to add scan from the top of the list to a level in the network creator by double-clicking in the level
- Minor updates to error messaging
2.2 Release
- Significant enhancements to the registration engine resulting from a research funded by Innovate UK
. Improves robustness meaning more scans automatically register correctly
- Improved workflow with the addition of a graphical scan network editor to create and edit the scan relationships/pairs
- Assisted target detection in survey coordinates editor
- Support for import of Z+F (Zoller & Fröhlich) zfs scan files added
- Disabling input support for XYZ, PLY, LAS and LAZ as not having the scanner location can cause issues with the current algorithm. Projects with these file types can still be run but new projects cannot be made.
. Export formats are unaffected
- Minor stability updates and bug fixes

Correvate Vercator 2.2.37 .


About Vercator. Traditional registration of 3D point cloud data has frequently proved to be slow and feature-heavy. Surveyors, engineers and construction professionals can often spend many hours using software that doesn't do the job it promises to carry out. As a result, manual workflows become complex, unpredictable and time-consuming.

Surveyors, engineers and construction professionals deserve software that does its job, is easy to use and requires less manual intervention. Software that works around you and not the other way round. Vercator software aims to live up to this promise.

The process of registering point clouds together requires crunching huge amounts of of data, and even the most automated solutions can require a lot of manual work. Any software that can reduce the amount of effort the user puts in-without reducing the quality of the final product-is bound to stand out.

This is the niche where Correvate hopes to make a name with its new Vercator software. The solution promises to register your 3D point cloud with a minimum of user input, without the need for targets, with up to an 80% reduction in registration time-all without sacrificing accuracy or quality in the final data.

Most existing registration solutions work by identifying features such as artificial targets, planes, lines, or other geometric primitives in each scan, and using those objects as references to align overlapping scans. Vercator, on the other hand, uses "advances in machine learning" to recognize what Correvate calls "natural features" in the scanned environment, and uses those as targets for alignment. Correvate is vague about what natural features it looks for, but they will say that there can be up to tens of millions of them in each scan. That makes them much more numerous than planes and lines, and obviously more numerous than manually placed scan targets.

Vercator's other innovation is to use vector analysis for fine registration. Here's how it works: Once Vercator recognizes the natural features in a scan, it determines their location and orientation relative to the scanner, and then represents this information with vectors. Next, Vercator compares the vector spheres for two overlapping scans, finds shared patterns, and use those achieve tight alignment.

The upshot of this approach is that Vercator is able to offer more automated registration, at a faster speed, with fewer misalignments that need to be corrected manually, and at a quality equal to industry standards.

The company is also careful to manage expectations. They tell that you'll still see some of the same limitations that apply to other cloud-to-cloud registration methods or SLAM algorithms. A completely blank corridor, for instance, doesn't offer the software enough features to make a good registration. Correvate also cautions that users should ensure a standard amount of overlap between scans-60%. Though the software is "fairly reliable" at lower overlaps, this amount ensures the best results.

Most of the user input comes at the beginning of the process. You add the scans and pairing scans that overlap to create a very rough network that links the scans together. (See the above image). Next, you select some configuration settings and go.

Now Vercator runs through several processing stages. First, it looks for features in each scan and runs a coarse registration. Next, it produces a registration report that enables users to verify the quality of the processing so far . This report includes information like the amount of overlap, whether there is visibility between scans, and so on.

This verification step gives users an easy way to ensure that everything is "along the right lines" before moving on to the final, much more intensive registration step. After performing a few quick steps and verifying that the registration is going well, you can leave the computer to do its work with confidence.

At the end of the final registration, the system generates a report with more statistics that indicate the overall accuracy.

A short video to guide you through using Vercator software version 2.2 to register 3D laser scan point cloud data. This animation will take you from loading data using the scan network tool to configure your job, on to automatic registration. Then simply export a wide range of file formats for use in your favourite post-registration software, including: xyz, ply, e57, pts, las, las.

About Correvate Limited. Correvate was formed to commercialise a technology that enables the automatic alignment and subsequent analysis of 3D point cloud datasets. The technology was initially created in the Department of Electronic and Electrical Engineering at University College London and then, on 1st January 2018, exclusively licensed to Correvate. It has since been enhanced by both Correvate and UCL.

The technology can be applied to 3D point cloud datasets created using any scanning technology of any wavelength.

Correvate's first market sector is in 'BIM' - Building Information Modelling - where professionals such as surveyors, architects and construction engineers create a 'digital twin' of the target project, yielding improvements in productivity well-recognised both by the professionals themselves and by the grant-giving teams in the UK's Department of Business, Energy and Industrial Strategy.

Product: Correvate Vercator
Version: 2.2.37
Supported Architectures: 32bit / 64bit
Website Home Page :
https://vercator.com/

Language: english
System Requirements: PC
Supported Operating Systems: ShiChuang 7even SP1 or newer
Size: 246.1 mb

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