Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Process 3D point clouds using a simple version of the Iterative Closest Point algorithm in multiple programming languages.
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Free · no card · unsubscribe anytimeImplementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
simpleICP has 350 stars on GitHub. It has been forked 66 times. simpleICP is written mainly in Python. It has been in active development since 2020. simpleICP is available under the MIT license. Its main topics are computer-vision, iterative-closest-point, point-cloud, point-cloud-processing.
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
simpleICP is an open-source project. It is released under the MIT license.
Yes. simpleICP is free and open source — you can use, modify and self-host it.
simpleICP is available under the MIT license.
simpleICP is written mainly in Python.
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