Feb. 21, 2024, 9:21 a.m. | /u/m3rk4n

Computer Vision www.reddit.com

I want to scan small objects with high precision (error \~ 5mm). I use camera sensor (AD-FXTOF1-EBZ) in order to get RGB-D images. I tried photogrammetry softwares such as Metashape, Reality Capture, COLMAP etc. Results didn't satisfy me.

I found SLAM algorithms and deep learning models which takes RGB-D data and create 3D mesh or point cloud. Some of them are gradslam, DVOslam, HRBF-Fusion, Bundle-Fusion, InFusionSurf, PSgradientSDF.

Also I have some 3D scanning datasets. NeRF or Gaussian Splatting models need …

algorithms computervision data deep learning error etc found images mesh objects photogrammetry precision reality rgb-d sensor slam small surface

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