Finding features in point clouds
Worldwide
I have some 3d point cloud data. (It's in fbx format but I can also get other formats including gltf, glb, usdz.) It's a scan of a building. I need someone who can apply some algorithms and machine learning to find different features in the point cloud. One example will be finding very small holes in the ceiling that can be used for hanging pipes or light fixtures. Another example might be segmentation of different parts/areas/features of the building. I want to make a simple "toy" demo (doesn't need to be 100% perfect) but I want it to use one or more advanced algorithms that go beyond trivial solutions.
- Less than 30 hrs/weekHourly
- < 1 monthDuration
- ExpertExperience Level
$30.00
-
$70.00
Hourly- Remote Job
- One-time projectProject Type
Skills and Expertise
Activity on this job
- Proposals:50+
- Last viewed by client:4 hours ago
- Interviewing:2
- Invites sent:0
- Unanswered invites:0
About the client
- United StatesPhiladelphia7:26 AM
- $134K total spent314 hires, 0 active
- 3,961 hours
- Tech & ITSmall company (2-9 people)
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