Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
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Updated
May 11, 2024 - Python
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
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This project uses dual quaternions to represent and transform manufactured parts and fixtures. The purpose is to predict the geometry of manufactured parts in multistage machining processes given locating surface and machining deviations. The implementation uses a two stationed machining line to demonstrate the idea.
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Lightweight C++ header-only template library for translation, rotation and homogeneous transformation. Requires C++17 or Later. No dependencies with other libraries and stl.
Dual Quaternion Linear Blending
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