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Digital planar surface segmentation using local geometric patterns

Abstract : This paper presents a hybrid two-step method for segmenting a 3D grid-point cloud into planar surfaces by using discrete-geometry results. Digital planes contain a finite number of local geometric patterns (LGPs). Such a LGP possesses a set of normal vectors. By using LGP properties, we first reject non-linear points from a point cloud (edge-based step), and then classify non-rejected points whose LGPs have common normal vectors into a planar-surface-point set (region-based step).
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Contributor : Yukiko Kenmochi Connect in order to contact the contributor
Submitted on : Sunday, September 11, 2011 - 6:04:51 PM
Last modification on : Wednesday, April 13, 2022 - 5:54:02 PM

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Yukiko Kenmochi, Lilian Buzer, Akihiro Sugimoto, Ikuko Shimizu. Digital planar surface segmentation using local geometric patterns. Discrete Geometry for Computer Imagery, Apr 2008, Lyon, France. pp.322-333, ⟨10.1007/978-3-540-79126-3_29⟩. ⟨hal-00622082⟩



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