The hardware used in this project is a Fotonic G-series Time-of-Flight camera.
The project is part of the course: TSBB11 Images and Graphics, Project Course CDIO, at Linköping University.
The client for this project is Per-Erik Forssén, associate professor at the Computer Vision Laboratory at Linköping University, in association with Fotonic.
The point cloud data comes from the camera in a three dimensional coordinate system.
The data is pre-processed by down-sampling, filtering and normal estimation to be able to extract features from the point cloud.
For each pair of point clouds a transformation is calculated by the algorithm Fast Global Registration, which utilizes FPFH features.
The finished registered point cloud and mesh is visualized using the Point Cloud Library.
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