Hierarchical Structure Recovery of Point-Sampled Surfaces

Simple item page
dc.contributor.authorAttene, Marcoen_US
dc.contributor.authorPatane, Giuseppeen_US
dc.date.accessioned2015-02-23T09:40:43Z
dc.date.available2015-02-23T09:40:43Z
dc.date.issued2010en_US
dc.description.abstractWe focus on the class of regular models defined by Varady et al. for reverse engineering purposes. Given a 3D surface represented through a dense set of points, we present a novel algorithm that converts to a hierarchical representation . In , the surface is encoded through patches of various shape and size, which form a hierarchical atlas. If belongs to the class of regular models, then captures the most significant features of at all the levels of detail. In this case, we show that can be exploited to interactively select regions of interest on and intuitively re-design the model. Furthermore, intrinsically encodes a hierarchy of useful segmentations of . We present a simple though efficient approach to extract and optimize such segmentations, and we show how they can be used to approximate the input point sets through idealized manifold meshes.en_US
dc.description.number6en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2010.01658.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1905-1920en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2010.01658.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleHierarchical Structure Recovery of Point-Sampled Surfacesen_US
Files
Collections
29-Issue 6