Aligning Point Clouds without known coordinates
Minggu, 15 September 2013
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andymiller/FeatureBasedAlignment · GitHub
From GibHub:
The goal is to accurately register two point clouds created from different image spectrums (e.g. visual to infrared), in different coordinate systems of different scales.
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Current approach is:
- Take two point clouds
- Estimate normals for each point
- Find FPFH Features for each point
- Find likely correspondences between two models (based on FPFH)
- Use top features to estimate scale,
- Run RANSAC to estimate transformation, and eliminate correspondences
- Use remaining correspondences to run ICP for finer alignment
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Judul: Aligning Point Clouds without known coordinates
Ditulis oleh Unknown
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