Curvature tensor based triangle mesh segmentation with boundary rectification

Guillaume,; Florent,; Atilla,

doi:10.1109/cgi.2004.1309187

Cited by 12 publications

(10 citation statements)

References 20 publications

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“…The algorithm has a high operating efficiency, but its application is limited to tree models. Guillaume et al [12] calculated the curvature tensor-based triangle mesh and used it to segment points into surface patches. Then, they adjusted the boundaries to obtain the segmentation of patch edges.…”

Section: Related Workmentioning

confidence: 99%

A self-adaptive segmentation method for a point cloud

et al. 2017

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The segmentation of a point cloud is one of the key technologies for three-dimensional reconstruction, and the segmentation from three-dimensional views can facilitate reverse engineering. In this paper, we propose a self-adaptive segmentation algorithm, which can address challenges related to the region-growing algorithm, such as inconsistent or excessive segmentation. Our algorithm consists of two main steps: automatic selection of seed points according to extracted features and segmentation of the points using an improved region-growing algorithm. The benefits of our approach are the ability to select seed points without user intervention and the reduction of the influence of noise. We demonstrate the robustness and effectiveness of our algorithm on different point cloud models and the results show that the segmentation accuracy rate achieves 96%.

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Section: Related Workmentioning

confidence: 99%

A self-adaptive segmentation method for a point cloud

et al. 2017

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“…These methods extract only regions surrounded by high curvature boundaries. A classification based method allows detection of simple curvature transitions [11]. Most of these cited approaches, however, do not consider anisotropic distribution of shape properties.…”

Section: Related Workmentioning

confidence: 99%

Anisotropic geodesic distance computation for parametric surfaces

Seong

Jeong

Cohen

2008

2008 IEEE International Conference on Shape Modeling and Applications

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“…Mesh partitioning (segmentation) is a well known procedure in computer graphics context, mainly for simplification and compression of meshes [24,25,26,27]. However, the problem of segmenting a mesh generated from an image has not been deeply investigated, being the work by Bertin et al [28] one of the few examples described in the literature.…”

Section: Mesh Partitioningmentioning

confidence: 99%