PPT-Wavelet Applications for Rendering

Speaker Yung Chum Lu Outline Introduction of Rendering Application I Application II Review Haar Something Interesting Rendering Story Board Create a 2D picture of a 3D world Ray Tracing. TekVisual is dedicated to customer service; standing behind our work and supporting client technology needs unconditionally. TekVisual has the track record, support, and service to take your project to a new level. CMSC . 491/635. Volume data. 3D Scalar Field: . F(x,y,z) = ?. Implicit functions. Voxel grid. Scalar data. Density. Temperature. Wind speed. …. Implicit functions. Blobs . [Blinn 82]. Metaballs . [Nishimura 83]. Kuang-Tsu. Shih. Time Frequency Analysis and Wavelet Transform Midterm Presentation. 2011.11.24. Outline. Introduction to Edge Detection. Gradient-Based Methods. Canny Edge Detector. Wavelet Transform-Based Methods. Fog. Final Demo. CSS 522 Topics in Rendering. March . 14,2011. Scott and Lew. Background of Fog. Challenges Rendering it. Our Implementation . Results . Limitations and Future Work. Overview:. Visible clouds and fog are created by millions and millions of water droplets refracting and reflecting light. Digital Image Synthesis. Yu-Ting Wu. Surface integrators. Remember the radiance can be estimated by solving the rendering equation:. Surface integrators are responsible for approximating . the . integral. Corrinne Yu. Halo team Principal engine programmer. Corrinne.Yu@microsoft.com. Zen of multi core rendering. Take away. Compilation and survey of effective rendering techniques for current generation multi core console hardware . Ling-Qi Yan. 1. , . Yahan. Zhou. 2. , Kun Xu. 1. , . Rui. Wang. 2. 1. Tsinghua University. 2. . University . of . Massachusetts. PG 2012. Pacific Graphics 2012. Motivation. Natural illumination. S. S. A. 1. D. 1. A. 2. D. 2. A. 3. D. 3. Bhushan D Patil. PhD Research Scholar . Department of Electrical Engineering. Indian Institute of Technology, Bombay. Powai, Mumbai. 400076. Outline of Talk. By. Dr. Rajeev . Srivastava. CSE, IIT(BHU). Dr.. Rajeev . Srivastava. 1. Its Understanding. Dr. Rajeev Srivastava. 2. 3. Wavelet Analysis and Synthesis . Dr. Rajeev Srivastava. Dr. Rajeev Srivastava. University of Tehran. School . of Electrical and Computer Engineering. Custom Implementation of DSP Systems - . 2010. By. Morteza Gholipour. Class presentation for the course: Custom Implementation of DSP Systems. . Sub-Surface Scattering. CSE 781. Prof. Roger Crawfis. Subsurface . Scattering: Translucency. Light . enters and leaves at . different. locations on the surface. bounces around . (scatters) inside. S. S. A. 1. D. 1. A. 2. D. 2. A. 3. D. 3. Bhushan D Patil. PhD Research Scholar . Department of Electrical Engineering. Indian Institute of Technology, Bombay. Powai, Mumbai. 400076. Outline of Talk. Michael Phipps. Vallary. S. . Bhopatkar. The most useful thing about wavelet transform is that it can turned into sparse expansion i.e. it can be truncated. Truncated Wavelet Approximation. Arbitrary chosen . Chen Bar, . Ioannis. . Gkioulekas. and . Anat. Levin. Technion. , Israel. CMU, USA. Speckle image. Coherent scattering and memory effect . 2. Tissue. Microscope objective. Speckle Image. Scattering Layer.