2008
DOI: 10.1016/j.cad.2007.11.006
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Shape differentiation of freeform surfaces using a similarity measure based on an integral of Gaussian curvature

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Cited by 22 publications
(11 citation statements)
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“…In the methodology [10], there is a process used for parametric surfaces and another similar one for discrete surfaces. When dealing with point clouds, it is necessary to use the discrete one and therefore to work on a triangular mesh M composed by a vertex set V={v i }  R 3 , a edges set E={e j =v j1 v j2 } which connect the vertexes and a triangles set (Fig.8).…”
Section: Gaussian Curvature: Percentiles (Methods 3)mentioning
confidence: 99%
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“…In the methodology [10], there is a process used for parametric surfaces and another similar one for discrete surfaces. When dealing with point clouds, it is necessary to use the discrete one and therefore to work on a triangular mesh M composed by a vertex set V={v i }  R 3 , a edges set E={e j =v j1 v j2 } which connect the vertexes and a triangles set (Fig.8).…”
Section: Gaussian Curvature: Percentiles (Methods 3)mentioning
confidence: 99%
“…As a consequence of this, the Gaussian curvature K T [10], used in the differentiable surfaces, can be approximated in the discrete ones as the sum of the T i K in each vertex in a specific region. Hence, in a specific vertex v i the curvature integral can be approximated from [12,4]:…”
Section: Figure 8 : Vertex and Related Variablesmentioning
confidence: 99%
“…Extensive literatures on geometry search could be reviewed in several aspects, such as global and partial retrieval [21], geometry [22] or topology method [23], semantic feature based [24] or none-featured graph method [25,26], solid model oriented [27] or surface model [4], for rigid shape [28,29] or for non-rigid shape [30], in single resolution level [3] or in level of detail (LOD) [31], by single descriptors or by combined descriptor and learning technique [32], etc. Indeed, there is no one best solution for all cases, and when considering reuse of tool sequence for cavity machining, some property of cavity FFS could be considered.…”
Section: Geometry Searchmentioning
confidence: 99%
“…In the field of surface retrieval, Fu et al [3] found that although shape distribution is of robustness and efficiency, it is not effective when adapting to surface retrieval, where a product family tends to share common global shape but different curvature variation. Integral of Gaussian curvature distribution in concentric regions is proposed, but the number of regions is empirical and alignment of targeting surfaces is required.…”
Section: Geometry Searchmentioning
confidence: 99%
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