Low-Discrepancy Point Sampling of Meshes for Rendering Export

@inproceedings{Quinn2007, abstract = {A novel point sampling framework for polygonal meshes is presented, based on sampling a mesh according to a density-controlled low-discrepancy distribution. The local sampling density can be controlled by a density functional defined by the user, e.g. to preserve local features, or to achieve desired data reduction rates. To sample the mesh, it is cut into a disc topology, and a parametrisation is generated. The parameterised mesh is sampled using a Hilbert curve in the parameter domain, which is adapted to parametric distortions and mapped onto the mesh. 1D sample points along the Hilbert curve are then generated, correcting for parametric distortion and a user-specified local density, to give a density-controlled low-discrepancy sampling of the mesh. After a pre-processing step, the sampling density can be adjusted in real-time. Experiments show that this approach can quickly resample existing meshes with low discrepancy samples. The effectiveness and speed of the approach are demonstrated by applying it to viewpoint dependent rendering, level of detail representation, and interactive remeshing.}, author = {Quinn, Jonathan A. and Langbein, Frank C. and Martin, Ralph R.}, booktitle = {Eurographics Symposium on Point-Based Graphics}, citeulike-article-id = {3776252}, citeulike-linkout-0 = {http://dx.doi.org/10.2312/SPBG/SPBG07/019-028}, citeulike-linkout-1 = {http://www.langbein.org/research/points/sampling/quinn2007/}, doi = {10.2312/SPBG/SPBG07/019-028}, editor = {Botsch, M. and Pajarola, R. and Chen, B. and Zwicker, M.}, keywords = {frankclangbein, low-discrepancy, points, sampling}, pages = {19--28}, posted-at = {2008-12-11 23:48:09}, priority = {0}, publisher = {Eurographics Association}, title = {Low-Discrepancy Point Sampling of Meshes for Rendering}, url = {http://dx.doi.org/10.2312/SPBG/SPBG07/019-028}, year = {2007} }

TY - CONF ID - Quinn2007 L3 - citeulike-article-id:3776252 N2 - A novel point sampling framework for polygonal meshes is presented, based on sampling a mesh according to a density-controlled low-discrepancy distribution. The local sampling density can be controlled by a density functional defined by the user, e.g. to preserve local features, or to achieve desired data reduction rates. To sample the mesh, it is cut into a disc topology, and a parametrisation is generated. The parameterised mesh is sampled using a Hilbert curve in the parameter domain, which is adapted to parametric distortions and mapped onto the mesh. 1D sample points along the Hilbert curve are then generated, correcting for parametric distortion and a user-specified local density, to give a density-controlled low-discrepancy sampling of the mesh. After a pre-processing step, the sampling density can be adjusted in real-time. Experiments show that this approach can quickly resample existing meshes with low discrepancy samples. The effectiveness and speed of the approach are demonstrated by applying it to viewpoint dependent rendering, level of detail representation, and interactive remeshing. EP - 28 TI - Low-Discrepancy Point Sampling of Meshes for Rendering PB - Eurographics Association T2 - Eurographics Symposium on Point-Based Graphics SP - 19 KW - frankclangbein KW - low-discrepancy KW - points KW - sampling AU - Quinn, Jonathan AU - Langbein, Frank AU - Martin, Ralph A2 - Botsch, M A2 - Pajarola, R A2 - Chen, B A2 - Zwicker, M PY - 2007/// UR - http://dx.doi.org/10.2312/SPBG/SPBG07/019-028 ER -