EDAN30 Photorealistic Computer Graphics
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1 EDAN30 Photorealistic Computer Graphics Michael Doggett Department of Computer Science Lund university
2 Introduction to Photorealistic Graphics Lund University Graphics Group What is Photorealistic Graphics? Course overview Background
3 Graphics Group Lund University Graphics Group Magnus Andersson - Teaching Assistant for PG Rasmus Barringer - Teaching Assistant for PG Michael Doggett - Lecturer for PG Per Ganestam Björn Johnsson Carl-Johan Gribel Tomas Akenine-Möller - Professor/Intel
4 My Background Designing Computer Hardware for 3D Computer Graphics Ph.D., UNSW, Sydney, Australia Volume Rendering HW 1.5 years at Special Effects company TV & Film Post doc - University of Tübingen designing GPUs - ATI (AMD) Docent
5 Photorealistic Graphics Applications Film TV, advertising Design previews Architecture Products mmxiii mcd
6 How to make an image that looks like a photo? Bottles-phials2.0 by Vlad Miller
7 What makes a photo?
8 Reflections Caustics Shadows Refraction Procedural Wood Wood can be procedurally computed Tomas Akenine-Möller and Michael Doggett!8
9 Motion Blur 2009 Tomas Akenine-Möller and Michael Doggett!9
10 Computer Graphics The science of computer graphics is about: Try to be photorealistic (usually) Creating images from 3D scene descriptions (or physically realistic) Your job : come up with clever algorithms to render images fast with good quality You can cheat physics
11 Solve the rendering equation! Equation 2.29 in the book 2nd edition Once you can solve it Or some approximation of it... you can...
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16 EDAN 30 Photorealistic Graphics Algorithms and principles for rendering How to sample a 3D scene How light interacts with objects Writing your own C++ ray tracer!
17 Course contents 8 lectures 5 seminars, 5 programming assignments 1 written exam Literature: Textbook : Realistic Ray Tracing, Peter Shirley, R. Keith Morley (2nd edition) To pass you must: complete all programming assignments pass exam
18 Writing your own ray 5 programming assignments 1.Whitted ray tracer tracer 2.Acceleration data structure 3.Diffuse inter-reflection 4.Progressive Photon Mapping 5.Elective - Presentation C++ (cross-platform) Work in pairs Show solutions in Uranus lab
19 Elective from 2011
20 mmxiii mcd Elective from 2012
21 mmxiv mcd Elective from 2013
22 Course schedule Week 1 Intro, Ray tracing, C++ Sampling, Object intersections Week 2 Seminar 1: RenderPet (Magnus) Acceleration Data Structures Week 3 Seminar 2: BVH (Magnus) Path Tracing, IBL Week 4 Seminar 3: Path tracing (Rasmus) Photon Mapping BREAK + EXAMS Week 5 Seminar 4: Progressive Photon Mapping (Rasmus) Advanced topics Week 6 Guest Lecture : Jonas Gustavsson, Sony Week 7 Summary and Elective presentation Lab: Assignment 1 due Lab: Assignment 2 due Lab: Assignment 3 due Lab: Assignment 4 due
23 How do we make an image? Recursive ray tracing Trace rays from the eye, then through and around the scene
24 Recursive Ray Tracing Refraction Light Reflection Shadow
25 How do we make an image? Sampling How many rays? Where do they start? Computing direction Object intersections Find the point on a surface where the ray hits it
26 How do we find intersections quickly? Acceleration Data Structures Group objects and work out if the ray hits the group first ie, put the scene into a Hierarchy
27 Hierarchical data structure
28 How to model light physically? Radiometry Compute how much light there is at that point Diffuse Inter-reflection Where is light coming from? Global Illumination Path tracing Photon Mapping How can we find the light faster?
29 Progressive Photon Mapping Image courtesy Toshiya Hachisuka from Progressive Photon Mapping, T. Hachisuka, S. Ogaki and H. W. Jensen ACM Transactions on Graphics (SIGGRAPH Asia 2008), 2008
30 Background Knowledge EDA221 Computer Graphics 3D Scene Camera Transformation and Viewing Projection Simple shading and lighting models (Phong) Environment mapping
31 Image-based Lighting Photo of a room Photo a highly reflective sphere in the room Computer-generated objects Images from Tomas Akenine-Möller and Michael Doggett!31
32 Image-based lighting Now, render computergenerated objects with lighting from light probe 2009 Tomas Akenine-Möller and Michael Doggett!32
33 Diffraction using SPPM Image courtesy Kristofer Carlberg, from his Masters Thesis, Stochastic Progressive Photon Mapping Using Parallel Hashing
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35 3rd programming assignment
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