Obtaining a 3D model using RealSense D405

[edwardp4]

| Camera Model | D405
| Firmware Version | 5.16.0.1
| Operating System & Version | Win 11
| Platform | PC |
| SDK Version | 2.0
| Language | python/C++/matlab
| Segment | Robot

I am working on a project that aims to scan a stationary object (the camera moves around it) and be able to perform dimensional analysis on the object. I have an Intel RealSense D405 camera and have been able to get single frame scans with depth data. What I need however, is an actual 3D model of my object, but it seems there is no one free available software for actively building a 3D point cloud while scanning. I have SDK 2.0 downloaded by that seems to only give live feed and not an accumulating point cloud like I need.

I tried using MATLAB, and am currently trying to now use Python for processing active depth data to build a 3D point cloud but am having a lot of trouble. Looking for any help in using the D405 to actively build a point cloud model in 3D to get dimensional data.

[MartyG-RealSense]

Hi @edwardp4 The RealSense SDK has an example program called rs-kinfu that can progressively build up a pointcloud with a single RealSense camera in real-time by moving the camera around the object, though it is in C++ language rather than Python. The program can export the finished pointcloud as a .ply pointcloud data file.

https://github.com/IntelRealSense/librealsense/tree/master/wrappers/opencv/kinfu