Register now to access 7 million high quality study materials (What's Course Hero?) Course Hero is the premier provider of high quality online educational resources. With millions of study documents, online tutors, digital flashcards and free courseware, Course Hero is helping students learn more efficiently and effectively. Whether you're interested in exploring new subjects or mastering key topics for your next exam, Course Hero has the tools you need to achieve your goals.
25 Pages
Document Preview
General Rendering BSDFs and BSSDFs Randy Rauwendaal BSDFs Bidirectional Scattering Distribution Function Gives a mathematical description of the way that light is scattered by a surface Is a generalization of a BRDF and a BTDF The Bidirectional Scattering Distribution Function The BSDF is a mathematical description of the light-scattering properties of a surface Let Lo(o) denote the radiance leaving x in...
Unformatted Document Excerpt
Coursehero >> California >> UC Davis >> ECS 298Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
General Rendering BSDFs and BSSDFs
Randy Rauwendaal
BSDFs
Bidirectional Scattering Distribution Function Gives a mathematical description of the way that light is scattered by a surface Is a generalization of a BRDF and a BTDF
The Bidirectional Scattering Distribution Function
The BSDF is a mathematical description of the light-scattering properties of a surface Let Lo(o) denote the radiance leaving x in direction o The light strikes the surfaces and generates an irradiance
It can be observed experimentally that as dE(i) is increased there is a proportional increase in the observed radiance dLo(o)
The BSDF is now defined to be this constant of proportionality
The Scattering Equation
By integrating the relationship
Over all directions, we can now predict Lo(o) This is summarized by the...
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more.
Course Hero has millions of course specific materials providing students with the best way to expand
their education.
Below is a small sample set of documents:
Below is a small sample set of documents:
UC Davis - ECS - 298
ECS 298 Photorealistic Image Synthesis Rendering AccelerationBrian Budge Center for Image Processing and Integrated Computing Computer Science Department University of California, DavisOverview Why do we need acceleration? Box/Bounding Box int
UC Davis - ECS - 289
Surface Simplification Using Quadric Error MetricsBy Michael Garland and Paul S. Heckbert Carnegie Mellon University Presented by Lok Hwa and Taylor HollidayCIPIC visualization and graphics research groupJanuary 21, 2003 Multiresolution (ECS 289
UC Davis - ECS - 289
To be published in Proc. of the IEEE International Conference in Multimedia and Expo (ICME) 2002, Lausanne, Switzerland, August 26-29, 2002, http:/mesh.epfl.ch/.1MESH : MEASURING ERRORS BETWEEN SURFACES USING THE HAUSDORFF DISTANCE Nicolas Aspert
UC Davis - ECS - 175
ECS 175 - Computer GraphicsAssignment 3Due DateThis assignment is due on Thursday, November 20, 2008Problems1. Generate a `clip' command for your MIDAS system. This command is used to create a sectioned (clipped) entity from an existing entity.
UC Davis - ECS - 175
ECS 175 Computer GraphicsAssignment #1Website: http:/graphics.cs.ucdavis.edu/~joy/ecs175 Due Date: Thursday, October 16, 2008 The Problems: 1. Space filling curves have become a standard way to map two-dimensional data sets onto disk. Suppose you
UC Davis - ECS - 175
ECS 175 Computer GraphicsAssignment #4 Due DateThursday, December 11, 2007, 11:59PMAssignmentUse textures, Bezier patches, and your current system to draw a favorite UC Davis object. NOTE Any assignment that you have not turned in this quarter
UC Davis - ECS - 277
On-Line Visualization NotesNumerical Methods for Particle Tracing in Vector FieldsKenneth I. Joy Visualization and Graphics Research Laboratory Department of Computer Science University of California, DavisOverviewIf we consider a vector eld in
UC Davis - ECS - 175
ECS 175 - Computer Graphics Assignment 2Due Date Tuesday, November 6, 2007 Description of the AssignmentComputer graphics systems always have a subsystem that allows the user to model objects - that is, construct and position them in a scene. This
UC Davis - ECS - 110
ECS 110 Data Structures and ProgrammingAssignment #3Due DateFriday, February 9, 2007The ProblemWrite a sorting algorithm that sorts the individual words in a given article. Use the treesort as described in class. You should list only words of
UC Davis - ECS - 110
ECS 110 Data Structures and ProgrammingFinal ExaminationName_ Directions: This is a closed-book test. Answer all questions on the paper provided. Use the backs of the provided paper if you need extra space.1. Given the list of integers 4, 7, 10,
UC Davis - ECS - 177
On-Line Geometric Modeling NotesCatmull-Rom SplinesKenneth I. Joy Visualization and Graphics Research Laboratory Department of Computer Science University of California, DavisThe Catmull-Rom Spline is a local interpolating spline developed for c
UC Davis - ECS - 278
On-Line Geometric Modeling NotesBIQUADRATIC UNIFORM B-SPLINE SURFACE REFINEMENTKenneth I. Joy Visualization and Graphics Research Group Department of Computer Science University of California, DavisOverview Subdivision surfaces are based upon th
UC Davis - ECS - 110
ECS 110 Data Structures and ProgrammingAssignment #4Due DateThursday, February 22, 2007The Problem Design a PR Quadtree data structure (as discussed in class) that will contain twodimension points (x,y). Each node of the quadtree should contai
UC Davis - ECS - 110
The Computer for the 21st Century Mark Weiser The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it. Consider writing, perhaps the first informati
UC Davis - ECS - 160
Why Session Tracking?Personalization is making it easier and more pleasant for people to surf the Internet. Consumers and companies benefitServlets 2Fatemeh Abbasinejad abbasine@cs.ucdavis.eduFatemeh AbbasinejadECS 160 - Spring 20062Why S
UC Davis - ECS - 160
ECS 160 Introduction to Software Engineering4/3/2006Discussion Session Notes 1Fatemeh Abbasinejad University of California at DavisWhat is Configuration Management? Typically configuration management is handled by software tools. These a
UC Davis - ECS - 160
Servlets1Fatemeh Abbasinejad abbasine@cs.ucdavis.eduWhat are Servlets?A program that runs on a web server acting as middle layer between requests coming from a web browser and databases or applications on the Http server21Where are they?Se
UC Davis - ECS - 160
Trac TutorialFatemeh Abbasinejad ECS 160 Spring 2006Menu Options for Trac Wiki (homepage) Timeline Roadmap Browse Source View/New Ticket1HomepageWiki Page2Browse SourceBrowse Source .3ChangesetAdding Tickets Tickets are t
UC Davis - VR - 05
3D Warp Brush: Interactive Free-Form Modeling on the Responsive WorkbenchYong Joo KilUC DavisPietro RenzulliPolitecnico di BariOliver KreylosUC DavisBernd HamannUC DavisGiuseppe MonnoPolitecnico di BariOliver StaadtUC DavisA BSTRAC
Masters CA - ONLINECATA - 0708
Financial AidFINANCIAL AID POLICIES & PROCEDURES Eligibility To be eligible to receive financial aid, a student must: 1. Be a U.S. citizen or permanent resident (except for international scholarships). 2. Be enrolled as a full-time student. 3. Have
Masters CA - ONLINECATA - 0304
Financial AidFinancial aid is money provided through federal and state grants and loans as well as institutional scholarship, grant and work study programs to assist students in meeting educational costs while attending college. There are two types
Masters CA - ONLINECATA - 0304
Humanities Course Offerings in HumanitiesART ARTUNDERGRADUATE PROGRAMSART109, 309 Fundamental Instruction in Art (1,1) Introductory studies in various art forms. ART318 Arts & Crafts: Individual Expression (3) The class will do three projects tog
UC Davis - CASP - 7
Critical Assessment of Techniques for Protein Structure PredictionSeventh MeetingASILOMAR CONFERENCE CENTER PACIFIC GROVE, CALIFORNIA NOVEMBER 26-30, 2006Abstracts13Dpro - 500 models for 100 3D targets FOLDpro - 600 models for 100 3D/100 DP
UC Davis - CASP - 7
Predictor GROUPS (by name)3D-JIGSAW (302) - 446 models for 100 3D targets 3D-JIGSAW_POPULUS (247) - 500 models for 100 3D targets 3D-JIGSAW_RECOM (420) - 462 models for 100 3D targets Paul.Fitzjohn@cancer.org.uk Paul W. Fitzjohn Marc N. Offman marc.
UC Davis - CASP - 7
List of participantsAlexei Adzhubei Universty of Oslo P.O. Box 1125 Blindern, NO-0317 Oslo Norway alexei@biotek.uio.no Yutaka Akiyama AIST 2-42 Aomi 135-0064 Koto-ku Tokyo Japan akiyama-yutaka@aist.go.jp Rodolfo V. Aramayo Texas A&M University 9207
UC Davis - CASP - 8
Critical Assessment of Techniques for Protein Structure PredictionEighth Meeting8CAGLIARI, SARDINIA, ITALY DECEMBER 3-7, 2008ABSTRACTS8th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction Cagl
UC Davis - CASP - 8
UC Davis - CASP - 8
6-Dec-2008CASP8Assessment of Disorder PredictionJoel L. Sussman Weizmann Institute of Science1The TeamJaime PriluskyOrly NoivirtKoby Levy2Since amino acid sequence determines 3D structure, amino acid sequence should also determine la
UC Davis - CASP - 8
CASP8: RefinementJustin MacCallum Ken Dill University of California San FranciscoI'm new.Dude, Dude physics doesn't work.Assessors make mistakes"In the beginner's mind there are In beginner s many possibilities, in the expert's mind th i d t
UC Davis - CASP - 8
CASP8 Ligand Binding Site PredictionGonzalo Lopez, Iakes Ezkurdia and Michael TressCASP function prediction,A historical perspective In previous CASP experiments we evaluated function prediction based on GO term prediction. It became clear after
UC Davis - CASP - 8
Model quality assessmentAndriy Kryshtafovych Domenico CozzettoPredicting: Expected quality of a model (QMode 1) Expected error on residue C (QMode 2) Quoting the CASP web page:You may submit your quality assessment prediction in one of the two