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Adaptive multi-scale analysis for point-based surface editing
Abstract : This paper presents a tool that enables the direct editing of surface features in large point-clouds or meshes. This is made possible by a novel multi-scale analysis of unstructured point-clouds that automatically extracts the number of relevant features together with their respective scale all over the surface. Then, combining this ingredient with an adequate multi-scale decomposition allows us to directly enhance or reduce each feature in an independent manner. Our feature extraction is based on the analysis of the scale-variations of locally fitted surface primitives combined with unsupervised learning techniques. Our tool may be applied either globally or locally, and millions of points are handled in real-time. The resulting system enables users to accurately edit complex geometries with minimal interaction.
Cited literature [27 references]
https://hal.inria.fr/hal-01059392
Contributor : Xavier Granier <>
Submitted on : Wednesday, March 29, 2017 - 5:56:47 PM
Last modification on : Tuesday, September 8, 2020 - 9:22:03 AM
Contributor : Xavier Granier <>
Submitted on : Wednesday, March 29, 2017 - 5:56:47 PM
Last modification on : Tuesday, September 8, 2020 - 9:22:03 AM
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