PDF-Summed Area Ripmaps

Gernot Ziegler NVIDIA Problem Task xF0A7 Compute large number of area sums over input data one two or n dimensional integer or float xF0A7 Example of area sum request from 1D inpu. C Area Mznn Area Apl No Delhi Development Authority Land Disposal Department ROHINI Comp No for Units CompNo Apl Prty No Category Setor Pocket Block Program Held on 882014 ROHINI RESIDENTIAL SCHEME 1981 EWS Program No RHND00097 Draw No 141 ROHINI 5 parksvicgovau Disclaimer Parks Victoria does not guarantee that this data is without 64258aw of any kind and therefore disclaims all liability which may arise from you relying on this information Data source acknowledgements State Digital Mapbase The 1113 EDUC TION CENTER Song in the saddleback truly evolves by non-genetic means. There are other examples of cultural evolution in birds and monkeys, but these are just interesting oddities. It is our own species that real Tim Barry Summed GDC 2005: Dynamic Glossy Environment Reflections Overview OverviewPresenting work started by Justin Hensley, Ph.D. student at UNC and a 2004 ATI Fellowship recipientSummed-area tablesUse for What are Summed Area Tables (SATs)?•integrated texture representation•Invented by Frank Crow, 1984•Each texelis the sum of all texelsbelow and to the left of it•Allows rapid box fi HSC05 ]toapproximatereec-tionsgeneratedusingaPhongBRDFandhighdynamicrangeenvironmentmaps.Summed-areatables,originallyintroducedbyCrow[ Cro84 meanstoevaluateaspatiallyvaryingboxlterinaconstantnumber where)istheambientelectronnumberdensity,aredriventoveryhigheffectivebrightnesstemperaturesbycoherentinter- S.M.White 30 40 50 60 70 Frequency (MHz) GBSRBS 20061207 Summed light curve 16:18:30 16:18:45 D. Nehab. 1. A. Maximo. 1. R. S. Lima. 2. H. Hoppe. 3. 1. IMPA . 2. Digitok. . . 3. Microsoft Research. Linear, shift-invariant filters. But use feedback from earlier outputs. D. Nehab. 1. A. Maximo. 1. R. S. Lima. 2. H. Hoppe. 3. 1. IMPA . 2. Digitok. . . 3. Microsoft Research. Linear, shift-invariant filters. But use feedback from earlier outputs. Jeremiah van Oosten. Reinier. van . Oeveren. Introduction. Related Works. Prefix Sums and Scans. Recursive Filtering. Summed-Area Tables. Problem Definition. Parallelization Strategies. Baseline (Algorithm RT). D. Nehab. 1. A. Maximo. 1. R. S. Lima. 2. H. Hoppe. 3. 1. IMPA . 2. Digitok. . . 3. Microsoft Research. Linear, shift-invariant filters. But use feedback from earlier outputs. Summed . Multi-Objective Ranks. Steven Bergen and Brian J. Ross. Brock University. Department of Computer Science. St. Catharines, Ontario, . Canada L2S 3A1. sb04qv@brocku.ca, . bross@brocku.ca. Outline.