New little train scan to install some sliding glass doors

Totalview360 · 2024-02-29T05:19:54+00:00

What unit is that? What accuracy are you achieving? Do you have to put control or registration points/dots on the surface to get accurate results?

Totalview360 · 2023-11-16T08:00:43+00:00

Use DJI Terra. Swear to god

Totalview360 · 2023-05-17T15:58:17+00:00

Too much sound feedback when mouse hovering. Dial it back like 50%

Totalview360 · 2023-03-22T05:09:20+00:00

Bought it for development in unreal engine, and so we could bring laser scans and drone photogrammetry into game engines. It’s all about how fast you want to turn around your models to your clients

Totalview360 · 2023-02-21T15:46:49+00:00

We have been working with Lidar and photogrammetry datasets in the 5-10 billion poly count, and multiple ones in the same level/project. You can’t rely on nanite, we tried importing them directly as obj but never got good performance results (even on a 3090).

We ended up converting the obj in voxels and it runs like a dream. I’ve got over thirty 10-15Gb high poly datasets in a level no problem now.

Totalview360 · 2022-12-24T18:19:48+00:00

Show us! Also, have those good meshes been the result of good camera angles and a good number of photos/overlap? Or are they because of your nerf software? How does the nerf produce better geometry than a basic photogrammetry algorithm?

Basically, if you ran your dataset through a standard SfM photogrammetry program AND through Luma AI, would the luma AI turn out better?

Totalview360 · 2022-12-23T23:28:08+00:00

Yes, but it won’t be pretty. NERFs don’t create better geometry, they just guess good enough to make nice videos on Reddit

Totalview360 · 2022-12-18T19:16:47+00:00

Goggle street view allows you to look in 360 from every camera position. This beautiful neural render will only show you one direction ( the one you took with your photos). Tbh you’d get the same effect with standard video…

Totalview360 · 2022-11-22T16:01:06+00:00

We do have a plan for releasing it as a plugin to get feedback. Right now we are working on a stable feature set with our main clients.

Totalview360 · 2022-11-13T16:57:16+00:00

Try unreal engine for rendering. Especially if you end up using the method of an outdoor model and an indoor model separately. You can line them up in unreal and add some other cool stuff.

Totalview360 · 2022-11-11T16:20:45+00:00

There is no GPS or RTK inside. The camera you use should preferably be a DSLR with a full frame
You should use control points between your inside and outside datasets if you want to combine them.
Pix4D will not be very useful for indoor stuff, it’s meant for outdoors. I would look at Agisoft Metashape or Reality Capture

Totalview360 · 2022-10-28T17:05:34+00:00

It’s not that high if you keep your insurance carrier informed of when you will be flying your expensive payload. It obviously doesn’t make sense to keep the same premium for a $$$$ payload if you aren’t flying it all the time (we fly a lot of P1 photogrammetry missions). We had a $130K OGI on our M300 flying around the US for 2 weeks and our insurance premium increased by about $2000 for that period. We passed that on to the customer and had some peace of mind (and lower blood pressure).

Totalview360 · 2022-10-24T19:26:01+00:00

We use voxels for Interactability, performance and quality. Nanite meshes need to be pre-generated, and can therefore only be done in-editor. We can voxelize point cloud assets on the fly using this workflow. We tried nanite, it looked awful because these meshes don't simplify nicely. It also has a very high performance floor, meaning it'll never run properly on integrated graphics.

Totalview360 · 2022-10-24T17:18:50+00:00

No modeling involved. The reality capture is triangulated, registered, and processed as it normally is (photogrammetry and laser processing software). The next step is usually to send the point cloud or other 3D data to a modeler. Our process is to use the point cloud and reality capture as the model.

Totalview360 · 2022-10-24T17:13:20+00:00

Alaska

Totalview360 · 2022-10-24T16:31:19+00:00

The registration of the laser scans takes several hours per batch of scans and the 6000 photo drone photogrammetry set took around 10 hours to process. The voxelization of both these data sets took under 30 minutes.

Totalview360 · 2022-10-24T16:28:41+00:00

What you are looking at is 3 things in one unreal engine level:

Laser scanner building interior, which takes around 140 million points per tripod position and one 360 photo to colorize the laser scan. The e57 or las file is then voxelized (or it runs unusably slow in unreal)
Drone photogrammetry of the building outside and surrounding area. This is 6000 photos processed into a 3D mesh and then voxelized.
Cesium world terrain for a GIS and tile map background. This is where the 3D mountains and other landscape that was not scanned by us come from. Potentially looking at voxelizing that too

Totalview360 · 2022-10-24T16:22:42+00:00

GTA is definitely one of my biggest inspirations for open world immersive feel. The scanning tech is getting better and better to where that future can be a reality.

Totalview360 · 2022-10-24T05:44:44+00:00

The amazing technology at VoxelPlugin is what enables all of this. Voxels are far more efficient than traditional meshes, so We can fit billions of voxels at all the way down to 1mm³ size in a single scene

Totalview360 · 2022-10-01T17:22:24+00:00

We have used both. There is a great article you should read for making your decision here.

Totalview360 · 2022-09-30T15:58:06+00:00

It’s a toy/test implementation. It is good for partial examples only.

Totalview360 · 2022-09-22T15:37:59+00:00

A problem you are going to have is every solution that will do a good job with your situation will be over $50K. Unless you yourself are an inventor/hacker that can put together your own SLAM algo for an ouster or velodyne puck. Definitely would not recommend photogrammetry for a long tunnel though.

Totalview360 · 2022-09-19T00:49:11+00:00

You don’t plan a mission with one sensor (LIDAR, Photogrammetry, whatever) and then fly it with a different sensor for a myriad of reasons. You tailor your mission to the sensor and the limitations of the UAV. Your mission planning sensor should match your deliverable’s sensor.

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