3D Visualization

3D Visualization

3D Visualization


3D laser scanning has evolved over the years, beginning simply with developers trying to figure out a way for computers to be able to handle this robust data. As the technology has improved, this industry has innovated to produce lighter and easier to handle 3D point models. In addition to that, 3D point data visualization technology has dramatically improved as well.

Registered Point Clouds from a phase-shift FARO 3D Laser Scanner and converted to ReCap files. Note variable scan photo exposures that when registered together, produce a poor, overexposed visualization. (Bean Hall Remodel scans located at the University of Oregon by ToPa 3D)

Color-Corrected Point Clouds: Balanced exposures of registered scans using FARO Technologies' Project Point Cloud visualization tool in FARO Scene software. Navigation in real-time with this level of visual quality is possible (see video below for demo).

Not only has the hardware improved to create cleaner and crisper scan data free of extraneous noise, commercial software such as FARO Scene has improved to crunch billions of points into a 3D viewer that can read hundreds or thousands of point clouds at once with little lag in 3D navigation. Project Point Cloud has been a remarkable point cloud viewing innovation. It lightens the point cloud model for ease of movement and also balances all the colors of the scans for a very comprehensible viewing experience.

Real-Time navigation of 395 laser scans from a FARO Focus3D scanner using the Project Point Cloud rendering tool within FARO Scene. Processing time for Project Point Cloud on this project was 40 hours.


The Costs of Project Point Cloud

That being said, Project Point Cloud (PPC) can really cook your graphics card - which may look like screens going black if users attempt too many operations at once such as navigating and then taking a measurement in 3D. Therefore it's pretty important for users to ensure a top-of-the-line graphics card (2 or 3 daisy-chained together is optimal) is available to even consider having a pleasurable experience while multi-tasking.

If you're new to point clouds, you may want to check out my other blog on computing recommendations for the Scan-to-BIM workflow.

Another cost for this valuable PPC tool is time. We have found that it takes sometimes several days for the algorithms to produce PPC in FARO Scene software for large projects. If you have the time however, we highly recommend this process. We do however understand that it can be tough to justify this time since most designers are most interested in getting the data directly into BIM software for as-built verification as quickly as possible. Most of our clients opt out of using the FARO Scene LT viewer unfortunately. Until FARO allows feature extraction directly from PPC, or perhaps some other mechanism for the superimposition of BIM models with the point cloud for as-built verification, it could remain a visual gem that may be too expensive (in terms of time) to wait for. To date, FARO Scene only imports VRML (.WRL) models which would require standard model types to be converted. We have not yet tested whether converted and imported BIM models in .WRL format retain their coordinate systems through this workflow.

[UPDATE: PPC time to process has been dramatically reduced from days to hours or even minutes with the new FARO Scene 7 release. This tool is certainly worth another look]

An Autodesk Workflow

Some things to consider with exporting PPC from FARO Scene: This high-grade, visually appealing and color-corrected data cannot usually be successfully exported all at once for large projects; although this is offered as an option in FARO Scene (see right image). For projects having a few hundred scans or more, your computer will most likely run out of memory before the export is complete. Alternatively, FARO Scene will crash. There is no way to break up the PPC data other than "MultipleClippingBoxes". While this is a good option, there is no option other than ASCII format for export from clipping boxes as the speedy .FLS file type export option is not available. This leaves users the option for either very small and numerous, MultipleClippingBoxes that are adjacent to one another to speed up the ASCII export a tiny bit, or just clipping good sized chunks of the overall PPC and wait it out. Either way, users will be waiting 15-30 minutes for each clipping box to export. Also, there is no way to automate this workflow with off-the-shelf Scene. (Could be a nice development for the FARO App Store though.)

A suggested workflow is to just export clipping boxes from PPC in FARO Scene that are large enough for BIM modelers to work, without having to jump in and out of the Point Cloud manager of their BIM platform. A room sized clip for example would be appropriate. While it may take up to 30 minutes to generate the ASCII file (we use .PTS), users will find relief when these massive ASCII files (up to 30gb each) are indexed in ReCap. Recap will handle these files well and crunch them down to about 300mb or so as ReCap has a built in decimation feature by default. This is a great way to cut hundreds of scans by about 1/3 and reduce the overall project file size in kind. Most of the important detail will be retained after this native decimation and the ReCap converted point cloud clips will sport several benefits:

  • File size reduced by 1/3rd or more.
  • 1/3 less point clouds to manage in BIM software.
  • PPC files generated from clipping boxes allow modelers to see all scan data in the room from all vantage points rather than trying to hunt for the right scans to fill in the occlusions (that is if users have a low powered computer and have to turn off and on point clouds to optimize computer performance).
  • PPC files converted to ReCap in this way are color-corrected.


And Now for Something a Little Different...

Other companies have tackled the point cloud viewing problem such as Euclideon which developed the Unlimited Detail algorithm; essentially 'baking' rather than rendering the point clouds. This was a phenomenal leap in point cloud viewing, allowing (theoretically) hundreds of thousands of point clouds to be viewed at once with no computational lag. A brilliant idea, but the cost at one point of sending them your data to 'bake' was upwards of $60,000 USD (based on a call I had with a rep there about 5-6 years ago). I cannot imagine anyone willing to pay that in the construction industry, but perhaps in the entertainment industry that would not be a large stretch for a realistic game or movie environment...

This is such a revolutionary concept that we at ToPa 3D believe our next statement should be emphasized:

If Euclideon can animate point clouds as demonstrated in the video above, then it should be possible to assign metadata to each point with said data hosted perhaps as IP's in the IoT. And, if that's possible, then we at ToPa believe that one day, component and mesh modeling will be antiquated because intelligent models of the future will be composed of pure point cloud data.

Perhaps one day we will be famous for that quote - that is if mom tells her friends on pinochle night...

In conclusion, we hope this has opened your mind to the possibilities that await this exciting industry (if you haven't been digging too deep already). Imagine entire planets surveyed with LiDAR and viewed in real time...yay lazers!

In our next episode, we explore a comparative analysis between some proven technology and some new technology that folks are talking about lately -

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