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Clustering - Point Cloud Simplification

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Uploaded by on Oct 12, 2011

Pointcloud simplify by iterative soft clustering algorithm
Different from k-means, this currently is variable k-centroids not using global optimization. Local error weights.
points: 704
clusters: 138
outliers: 11

Hole filling while simplifying is challenging. Many issues to solve including how to organize the new pointcloud in the existing octree.

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Science & Technology

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Standard YouTube License

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