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Level of Detail for Trees Using Clustered Ellipsoids (2011)

Clasen, Malte ; Paar, Philip ; Prohaska, Steffen

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Publication Date: 2022-07-19

Description: We present a level of detail method for trees based on ellipsoids and lines. We leverage the Expectation Maximization algorithm with a Gaussian Mixture Model to create a hierarchy of high-quality leaf clusterings, while the branches are simplified using agglomerative bottom-up clustering to preserve the connectivity. The simplification runs in a preprocessing step and requires no human interaction. For a fly by over and through a scene of 10k trees, our method renders on average at 40 ms/frame, up to 6 times faster than billboard clouds with comparable artifacts.

Language: English

Type: reportzib , doc-type:preprint

Format: application/pdf

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