Simple primitive recognition via hierarchical face clustering

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Abstract

We present a simple yet efficient algorithm for recognizing simple quadric primitives (plane, sphere, cylinder, cone) from triangular meshes. Our approach is an improved version of a previous hierarchical clustering algorithm, which performs pairwise clustering of triangle patches from bottom to top. The key contributions of our approach include a strategy for priority and fidelity consideration of the detected primitives, and a scheme for boundary smoothness between adjacent clusters. Experimental results demonstrate that the proposed method produces qualitatively and quantitatively better results than representative state-of-the-art methods on a wide range of test data.

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Yang, X., & Jia, X. (2020). Simple primitive recognition via hierarchical face clustering. Computational Visual Media, 6(4), 431–443. https://doi.org/10.1007/s41095-020-0192-6

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