1 / 10

Overview (Part 1)

Overview (Part 1). Background notions A reference framework for multiresolution meshes Classification of multiresolution meshes An introduction to LOD queries. Level-Of-Detail Queries on a Multiresolution Mesh.

fruma
Download Presentation

Overview (Part 1)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Overview (Part 1) • Background notions • A reference framework for multiresolution meshes • Classification of multiresolution meshes • An introduction to LOD queries

  2. Level-Of-Detail Queries on a Multiresolution Mesh • Extract from a multiresolution model a mesh satisfying some application-dependent requirement based on LOD • Selective refinement queries: • Result: a mesh covering the whole spatial object • Multiresolution mesh as a virtual simplification tool • Spatial selection queries: • Result: a mesh describing the portion of the object which interferes in space with a given query entity • Multiresolution mesh as a spatial index

  3. Examples of Selective Refinement uniform high resolution uniform low resolution high resolution just in the legs high resolution just in the head

  4. Examples of Spatial Selection Some meshes describing details of the bunny

  5. Level-Of-Detail • LOD criteriont: Boolean function defined over the n-cells of a multiresolution mesh • t(g) =True if g satisfies the LOD requirements • A mesh satisfies a given LOD criteriont iff t(g)= True for all n-cells g of G • An approximation error is usually associated with the n-cells of a multiresolution mesh: distance, according to some norm, with respect to a reference surface or hypersurface

  6. Examples of LOD Criteria • Uniform LOD: • t(g)= True if the error associated with g is less or equal to a constant threshold e • Variable LOD: • t(g)= True if the error associated with g is less or equal to the maximum over g of a threshold function f defined at each point of the domain (e.g., a view-dependent function) • Special case of variable LOD for scalar fields: • the threshold function f depends on the value of the field at each point of the domain (e.g, f(p) small at a set of interesting field values, large otherwise)

  7. Examples of LOD Criteria on a Terrain Uniform LODs Variable LOD on the field range (top of the mountain) Variable LOD on the domain (lower left angle)

  8. Selective Refinement Query Given a multiresolution mesh M and a LOD criterion t • extract from M the mesh of minimum size GS satisfying t

  9. Spatial Selection Query • Given a multiresolution mesh M, a Region Of Interest (ROI) R in space, and a LOD criterion t, extract from M a mesh G of minimum size such that • G satisfies t • G covers the part of the domain of M that interferes with R • Examples of ROIs: • An n-dimensional axis-aligned box: window query • An n-dimensional ball: range query

  10. Examples of ROIs Window and range queries at different resolutions on a terrain

More Related