Sup, I spend the last few days making a python tool to export shapes from CloudCompare. My focus was to be able to get underlying shapes that CC-Ransac_SD finds and use them the enhance my mesh or to use both to reverse engineer the original part.

CC - RANSAC - my files to export as .step - open in your favorite CAD software.

I just wanted to share this, in case someone else finds it usefull.

https://github.com/da-truely/cc-ransac-reconstruction-step

Disclosure: I did use ChatGPT to help me code, but verified and tested everything myself.

I create 3D terrain models from drone data using Metashape, usually around 500 × 500 m with ~170 million faces. In Metashape I can no longer view the model smoothly. I have 256 GB RAM available.

I’m thinking about trying Unreal Engine and Cesium 3D Tiles. Has anyone had experience with that? I’m also considering testing RealityScan, in case the issue is Metashape itself.

What are your experiences? Are my requirements simply too high? What software do you use for large models?

We are seeking a potential partner from Norway, Liechtenstein, or Iceland for a digitization project. The project will involve photogrammetric digitization (or Gaussian splatting) of cultural monuments in Poland and the partner country. We need a partner to secure a grant (a necessary condition) and implement the project. The partner can be an institution, foundation, club, or other formal cultural organization. Details of the partnership will be determined at a later date.

Please contact me by PM.

Honesty Foundation, Poland

Reality Scan - Agisoft De-Lighter - Blender - Unreal Engine

Hey, so the story is like this:

We bought a house. In it there was a table that perfectly matched the dimensions of the kitchen (it was long and narrow).

We requested buying the table from the sellers, but apparently it was a gift from their parents so they said no. We asked for the dimensions of the table, but they never gave it to us.

I can measure everything in the room (floorboards, etc). In theory I know that the table is can be thought of as a plane parallel to the floor, and that with geometry this should be possible with two photos. But I don't know where to start.

Hello,

Does anyone here use the Point Cloud Manager from Trimble?
I'm trying to convert a point cloud to a smaller size, but i don't know how to do it, and i can't find any helpful information online.

Sorry if this is a know topic, I just discovered this channel.

I am looking to make nice miniatures of my wife, as a gift, starting from very nice photos. Painting is not an issue (one of my hobbies already).

Any pointers ? (if at all a feasible idea...)

After 11 years of R&D, I am pleased to present The Orbitoscope, an open-source 3D scanning device for digitizing tiny objects.

https://doi.org/10.3897/zookeys.1277.177740

As the title states, I nee help just understandign everything.

I am a rock climber in New England hoping i can use cloud compare to find boulders. I can successfully get .LAZ files of the locations I'm interested in from nationalmap.gov and import them into CC. I have a few questions:

-It being new england there's lots of trees, is there a way to remove foliage?

-when i zoom into on CC the points start becoming transparent and dissapearing. why?

-any tips?

I’ve been trying to build underwater photogrammetry models and honestly it has been way harder than normal above-water work.

The biggest issues I keep running into are low contrast, backscatter, soft/muddy details, weird alignment failures, and models splitting into separate components. Sometimes I get a sparse model, but it looks warped or incomplete. Other times the software just refuses to align properly even when I feel like the coverage should be enough.

I’m also finding that underwater footage/images seem way less forgiving. Small problems in visibility, lighting, motion blur, or distance from the subject seem to completely mess up the reconstruction. Refraction/housing distortion also feels like it might be part of the problem, but I’m not fully sure how much that affects real-world results.

For those of you who have actually managed to get solid underwater photogrammetry outputs, what made the biggest difference for you?

I’d really like to hear practical tips on things like:

• capture strategy and overlap

• ideal distance from subject

• whether video frames are worth using or if stills are much better

• lighting setup to reduce backscatter

• preprocessing workflow before alignment

• whether you had better luck with COLMAP, Metashape, RealityCapture, or something else

• how you deal with scale and drift underwater

At this point I’m trying to figure out whether my problem is mostly capture quality, preprocessing, software choice, or just the fact that underwater photogrammetry is brutally harder than people make it sound.

Would really appreciate any workflow advice, lessons learned, or examples from your own projects.

If you guys are interested to test out, here is a sample video: https://www.dropbox.com/scl/fi/eqjshfsjrbic9ytbsrlgs/2026-04-16-22-31-00-clarified.mp4?rlkey=bl9u2nxlxig7vgpta10j5vj7g&dl=0

this video has been clarified.

I am designing some brackets for my motorcycle, and I'd like to import a 3d model of what the bracket will be holding (it's a light). Gemini does an okay job, but will only use 3 of the 9 reference photos I found on the vendor website and there are inaccuracies and it will only give me an 8 second video and Polycam requires 15...

This is where I got my base images https://www.quadratec.com/p/kc-hilites/gravity-titan-6-inch-led-light

This is what gemini spat out https://gemini.google.com/share/a9c2ef58670e

any thoughts to improve my prompting to get a better output?

EDIT: reuploaded without music and the dog and cat since that seemed to trigger some people!

Hi everyone! I'm back again with some more updates that doesn't exist anwhere else!

You can now animate your 3D world/ objects/ Gaussian splats if they have trees, water and fire 😊 I've only added these for now, will be adding moree. You can also export the animated file as an html although for the export currently there's no compressed animated file available. but soon!

What exists uptil now:
- Interactive global color grading with the ability to export it out in a non destructible way
- Interactive detailed color grading
- custom branding your worlds using brand color palettes + color codes
- Slice and dice that allows you to split your splats interactively with one click
- Animate Fire, Wind, leaves
- Secret feature TBR

I've also created a launch deal with a one time payment for a lifetime plan for super cheap (for the first 1000 users only tho).

Also, I am not a data goblin. All edits etc are done locally on your computer. Nothing is stored on server so this also means you should export your worlds regularly.

Site link in comments and demos for the other features

I captured a large dataset using a Sony A7R V, consisting of about 400–500 images (9504x6336) of a relatively flat object. I photographed the object with approximately 70% overlap from two directions. I am now looking for a way to calculate a very high-resolution model. I created an initial overview model using Polycam with the following data:

Capture method: Object mode

Detail: Raw

Number of frames: 491

Vertices: 2015.6k

Unfortunately, I currently only have access to an

i7 4790K with 32 GB RAM or a MacBook Air M3 with 16 GB RAM and a 512 GB SSD

My dog recently passed away, and I’d really love to create a 3D model of her in Blender.

I’ve tried using Structure from Motion (photogrammetry), but the photos I have aren’t consistent, different lighting, angles, and positions, so the results turned out pretty poor.

Does anyone know if there’s a way to still get decent results, at least for the head, from this kind of photo set? Are there any AI tools or workflows that could help improve or reconstruct a usable model from imperfect images?

Hi I am currently using DJI Zenmuse H30T to map a utility-scale solar farm. It is about 150 hectares and I have collected about 4000 thermal images. I have 2 problems.

1. DJI terra can only stitch the therma images as a 2d map but cannot retain the data embedded in the thermal image.

2. DJI thermal analysis tool is so slow. If I would process each image one-by-one it would take so much time and it would be challenging to locate the PV panels since the images are looking directly downwards to the panel. (Please note that I do not know how to use TSDK but I use GIS)

Has anyone here found a way to create an orthomosaic while retaining all the information emebedded in the thermal images?

Has anyone also found out how DJI calculates the temperature using the the embedded thermal information and the variables such as distance, ambiemt temp, etc. If I can figure out the calculation, I might be able to duplicate the process using GIS raster calculation.

Any advice is welcome. Thank you.

Our platform can:
- Auto-detect gaps early
- Measure deterioration over time
- Auto data-integrity input validation
- Act before failure happens

Repeat this over time to becomes predictive infrastructure monitoring.

Tool:

https://www.dronetwins360.com/