PPT-Hydraulic parameterization of 3D subsurface models: from me

Jan L Gunnink Jan Stafleu Denise Maljers and Jan Hummelman TNO Geological Survey of the Netherlands Layerbased models n ationwide 41000 km 2 upper 500 m ArcGIS raster layers. OVs Hydraulic Construction Tools Press Applications Demolition Tools Pressure Die Casting Machines Quick Die Changing Equipment EN The MPSeries of Hydraulic Pressure Intensifiers brPage 2br The Function of the MPSeries The Function The MPSeries A parameterization for 2D and 3D geometries based on piecewise Bezier curves and surfaces is proposed here The requested C inter segment continuity is accomplished by automatically generating additional control points without increasing the number o Planitia. , Mars. Ali M. Bramson. 1. S. Byrne. 1. , N.E. Putzig. 2. , S. Mattson. 1. , J.J. Plaut. 3. , J.W. Holt. 4. Ali M. Bramson (. bramson@lpl.arizona.edu. ). …Constraints on Subsurface Ice in Arcadia . Ke Chen Charly Collin Ajit Hakke-Patil Sumanta Pattanaik. Overview. Introduction and motivation. BRDF = surface BRDF + subsurface BRDF . [. Hanrahan. and Krueger 1993]. Subsurface BRDFs are directionally dependent. Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. Parameterization. Parameterization is used to change the value of any variable at run time.. Following can be parameterized in a script file:-.  . URL portion.  . Header portion.  . BODY portion. Josiah Manson and Scott Schaefer. Texas A&M University. Texture Parameterization. Texture Parameterization. Texture Parameterization. Texture Parameterization. MIP-Mapping. MIP-Mapping. MIP-Mapping. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. Based on research by. : . Paul . D. . Bates. 1. , . Timothy J. . Fewtrell. 1. , . Jeffrey . C. Neal. 1. , Mark A. Trigg. 1. , Guy J-P. Schumann. 1. and Matthew . S. . Horritt. 2. 1. . School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK. Hydraulic & Hydrologic . Considerations in Planning. Chuck Shadie. Jon Hendrickson. Harry Friebel. 2011. 1. Objectives. Be able to:. Explain the importance of modeling & analysis in water resources management.