rendering equation computer graphics rendering equation 2009 fabio pellacini 1

Size: px
Start display at page:

Download "rendering equation computer graphics rendering equation 2009 fabio pellacini 1"

Transcription

1 rendering equation computer graphics rendering equation 2009 fabio pellacini 1

2 phsicall-based rendering snthesis algorithms that compute images b simulation the phsical behavior of light computer graphics rendering equation 2009 fabio pellacini 2

3 phsicall-based rendering advantages predictive simulation can be used for architecture, engineering, photorealistic if simulation if correct, images will look real disadvantages reall slow simulation of phsics is computationall ver epensive need accurate geometr, materials and lights otherwise just a correct solution to the wrong problem computer graphics rendering equation 2009 fabio pellacini 3

4 models of light geometric optics light particles travel in straight lines light particles do not interact with each other describes: emission, reflection/refraction, absorption [Stam et al., 1996] computer graphics rendering equation 2009 fabio pellacini 4

5 models of light wave optics light particles interact with each other describes: diffraction, interference, polarization [Gondek et al., 1997] computer graphics rendering equation 2009 fabio pellacini 5

6 models of light quantum optics light particles are like an other quantum particles captures: fluorescence, phosphorescence [Glassner et al., 1997] computer graphics rendering equation 2009 fabio pellacini 6

7 rendering equation describe phsical behavior of light in vacuum filled with objects based on geometric optics principles can be etended to describe participating media can be etended to describe wavelenght dep. computer graphics rendering equation 2009 fabio pellacini 7

8 power and irradiance power: energ per unit time measured in Watts Joules/sec Φ irradiance: power per unit area measured in Watts/meter 2 E dq dt dφ da computer graphics rendering equation 2009 fabio pellacini 8

9 radiance power per unit projected area and solid angle depends on position and direction 5D Θ d da Φ d Φ 2 2 dωθ dacosθθdωθ cosθθ N Θ de cosθ dω Θ Θ [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 9

10 radiance most sensors readings and our ees are proportional to radiance computer graphics rendering equation 2009 fabio pellacini 10

11 radiance notation notation follows [Dutré, Bekaert, Bala] radiance leaving from point in direction Θ Θ radiance coming to point from direction solid angle for a direction in general dω Θ Θ computer graphics rendering equation 2009 fabio pellacini 11

12 radiance radiance is a function of wavelenght Θ λ spectrum Θ,λ in practice, write equations for RGB we will use simplified notation without carr around the wavelength eplicitl computer graphics rendering equation 2009 fabio pellacini 12

13 radiance formulation between two points da 2 d Φ cosθ dω 2 d Φ da da r 2 cosθ cosθ dω da cosθ r 2 [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 13

14 radiance properties invariance on straight paths in vacuum from energ conservation corollar: radiance does not change with distance [Shirle] computer graphics rendering equation 2009 fabio pellacini 14

15 material properties materials differ in the wa the scatter energ need phsical description of light scattering [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 15

16 BRDF bidirectional surface distribution function d Θ ρ, Θ de d Θ dω cosθ [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 16

17 BRDF properties reciprocit ρ, Θ ρ, Θ energ conservation : Θ Ω d Θcosθ dω Θ Θ de : Θ Ω ρ, Θcosθ dω Θ Θ 1 computer graphics rendering equation 2009 fabio pellacini 17

18 hemispherical formulation need outgoing radiance in a given direction from BRDF definition ρ, Θ d Θ dω cosθ determine reflected radiance r b integration over all incoming light r Θ d Θ Ω ρ, Θ cosθ dω computer graphics rendering equation 2009 fabio pellacini 18

19 hemispherical formulation need outgoing radiance in a given direction also consider light spontaneousl emitted b surface e Θ total radiance is the sum of emitted and reflected Θ e Θ + Θ r Θ + Ω e Θ + ρ, Θcos, dω N computer graphics rendering equation 2009 fabio pellacini 19

20 hemispherical formulation Θ + Ω e Θ + ρ, Θcosθ dω [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 20

21 intuition behind rendering equation Θ + Ω e Θ + ρ, Θcosθ dω [Bala] Θ Θ e computer graphics rendering equation 2009 fabio pellacini 21

22 intuition behind rendering equation Θ + Ω e Θ + ρ, Θcosθ dω integral equation indicates radiance at equilibrium computer graphics rendering equation 2009 fabio pellacini 22

23 visible point formulation point visible from in direction r, since energ is conserved in vacuum b substituting previous values in rendering eq. Θ + Ω e Θ + r, ρ, Θcosθ dω computer graphics rendering equation 2009 fabio pellacini 23

24 visible point formulation Θ + Ω e Θ + r, ρ, Θcosθ dω [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 24

25 area formulation compute solid angle visible from to dω da cosθ r 2 [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 25

26 area formulation b changing domain from hemisphere to scene and introducing eplicit visibilit evaluation V Θ + S e Θ + ρ, Θ cosθ 2 r cosθ Θ V, da G, cosθ cosθ Θ 2 r N N 2 computer graphics rendering equation 2009 fabio pellacini 26

27 computer graphics rendering equation 2009 fabio pellacini 27 area formulation Θ + + Θ Θ S e da V G,,, ρ [Dutré, Bekaert, Bala]

28 transport formulation e + T e + T e + TT e +... i 0 T i e [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 28

29 e Te e e + Te computer graphics rendering equation T 2 e 3 T e [Cornell PCG] transport formulation T e e T e e fabio pellacini 29

30 direct and indirect illum. formulation direct illumination: radiance reaching a surface directl from the light often efficient to sample using area formulation indirect illumination: radiance reaching a surface after bouncing at least once on another surface often efficient to sample using hemisphere formulation computer graphics rendering equation 2009 fabio pellacini 30

31 computer graphics rendering equation 2009 fabio pellacini 31 direct and indirect illum. formulation Θ + Θ Θ r e...cos...cos Θ + Θ + Θ i d r e r d d ω θ ρ ω θ ρ

32 computer graphics rendering equation 2009 fabio pellacini 32 direct illumination formulation Ω Θ Θ ω θ ρ d e d cos, Θ Θ surface lights e d da V G,,, ρ rewrite in area formulation Θ Θ l l light e d da V G,,, ρ

33 computer graphics rendering equation 2009 fabio pellacini 33 indirect illumination formulation Ω Θ Θ ω θ ρ d r d cos, since, r r r Ω Θ Θ ω θ ρ d r r d cos,,

34 hemispherical integration 2D square I 1 f da S X f, dd 2D hemisphere I Θ dω f ϕ, θ sinθdϕdθ Θ Θ Ω f 2π π 0 0 computer graphics rendering equation 2009 fabio pellacini 34

35 materials computer graphics rendering equation 2009 fabio pellacini 35

36 phsicall-based materials capture realistic appearance is necessar [Cornell PCG] computer graphics rendering equation 2009 fabio pellacini 36

37 diffuse BRDF light is reflected equall in all directions ρd ρ, Θ π [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 37

38 diffuse BRDF ambertian shading model motivation d Θ ρ, Θ de ρd cosθ π dω C l k d cosθ computer graphics rendering equation 2009 fabio pellacini 38

39 specular BRDF light is reflected onl in one direction ρ, Θ δ, Θ [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 39

40 gloss BRDFs light is reflected in man directions unequall man models eist [Dutré, Bekaert, Bala] computer graphics rendering equation 2009 fabio pellacini 40

41 gloss BRDFs Phong and Blinn models Phong model ρ, Θ k d + k s cos n θ r k d + k s R Θ n Blinn-Phong model ρ, Θ issues: non reciprocal non energ conserving k + d k s N H n computer graphics rendering equation 2009 fabio pellacini 41

42 gloss BRDFs modified Blinn-Phong model modified Blinn-Phong model ρ, Θ energ conservation ρd n ρs π 2π ρ d + ρ s 1 H Θ n computer graphics rendering equation 2009 fabio pellacini 42

43 gloss BRDFs modified Phong model is modified Phong phsicall accurate? Phong accurate BRDF [afortune et al., 1997] photograph computer graphics rendering equation 2009 fabio pellacini 43

44 gloss BRDFs modified Phong model is modified Phong phsicall accurate? Phong accurate BRDF [afortune et al., 1997] computer graphics rendering equation 2009 fabio pellacini 44

45 gloss BRDFs better models analtic model phsicall motivated hard to capture ever material data-driven measure light reflectance encode in lookup table or fit resample when rendering computer graphics rendering equation 2009 fabio pellacini 45

46 etending the rendering equation computer graphics rendering equation 2009 fabio pellacini 46

47 participating media [Fedkiw et al.] computer graphics rendering equation 2009 fabio pellacini 47

48 subsurface scattering [Jensen et al.] computer graphics rendering equation 2009 fabio pellacini 48

49 [Jensen] subsurface scattering computer graphics rendering equation 2009 fabio pellacini 49

50 subsurface scattering [Jensen et al.] computer graphics rendering equation 2009 fabio pellacini 50

rendering equation computer graphics rendering equation 2009 fabio pellacini 1

rendering equation computer graphics rendering equation 2009 fabio pellacini 1 rendering equation computer graphics rendering equation 2009 fabio pellacini 1 physically-based rendering synthesis algorithms that compute images by simulation the physical behavior of light computer

More information

CMSC427 Shading Intro. Credit: slides from Dr. Zwicker

CMSC427 Shading Intro. Credit: slides from Dr. Zwicker CMSC427 Shading Intro Credit: slides from Dr. Zwicker 2 Today Shading Introduction Radiometry & BRDFs Local shading models Light sources Shading strategies Shading Compute interaction of light with surfaces

More information

Visual Appearance and Color. Gianpaolo Palma

Visual Appearance and Color. Gianpaolo Palma Visual Appearance and Color Gianpaolo Palma LIGHT MATERIAL Visual Appearance Color due to the interaction between the lighting environment (intensity, position, ) and the properties of the object surface

More information

2/1/10. Outline. The Radiance Equation. Light: Flux Equilibrium. Light: Radiant Power. Light: Equation. Radiance. Jan Kautz

2/1/10. Outline. The Radiance Equation. Light: Flux Equilibrium. Light: Radiant Power. Light: Equation. Radiance. Jan Kautz Outline Jan Kautz Basic terms in radiometry Radiance Reflectance The operator form of the radiance equation Meaning of the operator form Approximations to the radiance equation 2005 Mel Slater, 2006 Céline

More information

CENG 477 Introduction to Computer Graphics. Ray Tracing: Shading

CENG 477 Introduction to Computer Graphics. Ray Tracing: Shading CENG 477 Introduction to Computer Graphics Ray Tracing: Shading Last Week Until now we learned: How to create the primary rays from the given camera and image plane parameters How to intersect these rays

More information

Reflection models and radiometry Advanced Graphics

Reflection models and radiometry Advanced Graphics Reflection models and radiometry Advanced Graphics Rafał Mantiuk Computer Laboratory, University of Cambridge Applications To render realistic looking materials Applications also in computer vision, optical

More information

INFOGR Computer Graphics. J. Bikker - April-July Lecture 10: Shading Models. Welcome!

INFOGR Computer Graphics. J. Bikker - April-July Lecture 10: Shading Models. Welcome! INFOGR Computer Graphics J. Bikker - April-July 2016 - Lecture 10: Shading Models Welcome! Today s Agenda: Introduction Light Transport Materials Sensors Shading INFOGR Lecture 10 Shading Models 3 Introduction

More information

Overview. Radiometry and Photometry. Foundations of Computer Graphics (Spring 2012)

Overview. Radiometry and Photometry. Foundations of Computer Graphics (Spring 2012) Foundations of Computer Graphics (Spring 2012) CS 184, Lecture 21: Radiometry http://inst.eecs.berkeley.edu/~cs184 Overview Lighting and shading key in computer graphics HW 2 etc. ad-hoc shading models,

More information

The Rendering Equation. Computer Graphics CMU /15-662

The Rendering Equation. Computer Graphics CMU /15-662 The Rendering Equation Computer Graphics CMU 15-462/15-662 Review: What is radiance? Radiance at point p in direction N is radiant energy ( #hits ) per unit time, per solid angle, per unit area perpendicular

More information

Rendering Equation. Physically-Based Rendering. Physically-Based Rendering. Models of Light

Rendering Equation. Physically-Based Rendering. Physically-Based Rendering. Models of Light Rning Equation Phsicall-Bas Rning snthsis algoithms that comput imags b simulation th phsical bhavio of light Comput Gaphics Rning Equation 005 Fabio Pllacini 1 Comput Gaphics Rning Equation 005 Fabio

More information

Radiance. Radiance properties. Radiance properties. Computer Graphics (Fall 2008)

Radiance. Radiance properties. Radiance properties. Computer Graphics (Fall 2008) Computer Graphics (Fall 2008) COMS 4160, Lecture 19: Illumination and Shading 2 http://www.cs.columbia.edu/~cs4160 Radiance Power per unit projected area perpendicular to the ray per unit solid angle in

More information

Introduction to Radiosity

Introduction to Radiosity Introduction to Radiosity Produce photorealistic pictures using global illumination Mathematical basis from the theory of heat transfer Enables color bleeding Provides view independent representation Unfortunately,

More information

CS184 LECTURE RADIOMETRY. Kevin Wu November 10, Material HEAVILY adapted from James O'Brien, Brandon Wang, Fu-Chung Huang, and Aayush Dawra

CS184 LECTURE RADIOMETRY. Kevin Wu November 10, Material HEAVILY adapted from James O'Brien, Brandon Wang, Fu-Chung Huang, and Aayush Dawra CS184 LECTURE RADIOMETRY Kevin Wu November 10, 2014 Material HEAVILY adapted from James O'Brien, Brandon Wang, Fu-Chung Huang, and Aayush Dawra ADMINISTRATIVE STUFF Project! TODAY Radiometry (Abridged):

More information

Global Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller

Global Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller Global Illumination CMPT 361 Introduction to Computer Graphics Torsten Möller Reading Foley, van Dam (better): Chapter 16.7-13 Angel: Chapter 5.11, 11.1-11.5 2 Limitation of local illumination A concrete

More information

CS-184: Computer Graphics. Today. Lecture 22: Radiometry! James O Brien University of California, Berkeley! V2014-S

CS-184: Computer Graphics. Today. Lecture 22: Radiometry! James O Brien University of California, Berkeley! V2014-S CS-184: Computer Graphics Lecture 22: Radiometry James O Brien University of California, Berkeley V2014-S-15-1.0 Today Radiometry: measuring light Local Illumination and Raytracing were discussed in an

More information

COMPUTER GRAPHICS COURSE. LuxRender. Light Transport Foundations

COMPUTER GRAPHICS COURSE. LuxRender. Light Transport Foundations COMPUTER GRAPHICS COURSE LuxRender Light Transport Foundations Georgios Papaioannou - 2015 Light Transport Light is emitted at the light sources and scattered around a 3D environment in a practically infinite

More information

The Rendering Equation and Path Tracing

The Rendering Equation and Path Tracing The Rendering Equation and Path Tracing Louis Feng April 22, 2004 April 21, 2004 Realistic Image Synthesis (Spring 2004) 1 Topics The rendering equation Original form Meaning of the terms Integration Path

More information

Illumination. Illumination CMSC 435/634

Illumination. Illumination CMSC 435/634 Illumination CMSC 435/634 Illumination Interpolation Illumination Illumination Interpolation Illumination Illumination Effect of light on objects Mostly look just at intensity Apply to each color channel

More information

Global Illumination. CSCI 420 Computer Graphics Lecture 18. BRDFs Raytracing and Radiosity Subsurface Scattering Photon Mapping [Ch

Global Illumination. CSCI 420 Computer Graphics Lecture 18. BRDFs Raytracing and Radiosity Subsurface Scattering Photon Mapping [Ch CSCI 420 Computer Graphics Lecture 18 Global Illumination Jernej Barbic University of Southern California BRDFs Raytracing and Radiosity Subsurface Scattering Photon Mapping [Ch. 13.4-13.5] 1 Global Illumination

More information

Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao

Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao Radiometry & BRDFs CS295, Spring 2017 Shuang Zhao Computer Science Department University of California, Irvine CS295, Spring 2017 Shuang Zhao 1 Today s Lecture Radiometry Physics of light BRDFs How materials

More information

Illumination and Shading - II

Illumination and Shading - II Illumination and Shading - II Computer Graphics COMP 770 (236) Spring 2007 Instructor: Brandon Lloyd 2/19/07 1 From last time Light Sources Empirical Illumination Shading Local vs Global Illumination 2/19/07

More information

Lighting - the Radiance Equation

Lighting - the Radiance Equation CHAPTER 3 Lighting - the Radiance Equation Lighting The Fundamental Problem for Computer Graphics So far we have a scene composed of geometric objects. In computing terms this would be a data structure

More information

THE goal of rendering algorithms is to synthesize images of virtual scenes. Global illumination

THE goal of rendering algorithms is to synthesize images of virtual scenes. Global illumination 2 Fundamentals of Light Transport He who loves practice without theory is like the sailor who boards ship without a rudder and compass and never knows where he may cast. Leonardo Da Vinci, 1452 1519 THE

More information

SOME THEORY BEHIND REAL-TIME RENDERING

SOME THEORY BEHIND REAL-TIME RENDERING SOME THEORY BEHIND REAL-TIME RENDERING Jaroslav Křivánek Charles University in Prague Off-line realistic rendering (not yet in rea-time) Ray tracing 3 4 Image created by Bertrand Benoit Rendered in Corona

More information

Global Illumination. Global Illumination. Direct Illumination vs. Global Illumination. Indirect Illumination. Soft Shadows.

Global Illumination. Global Illumination. Direct Illumination vs. Global Illumination. Indirect Illumination. Soft Shadows. CSCI 480 Computer Graphics Lecture 18 Global Illumination BRDFs Raytracing and Radiosity Subsurface Scattering Photon Mapping [Ch. 13.4-13.5] March 28, 2012 Jernej Barbic University of Southern California

More information

Radiometry and reflectance

Radiometry and reflectance Radiometry and reflectance http://graphics.cs.cmu.edu/courses/15-463 15-463, 15-663, 15-862 Computational Photography Fall 2018, Lecture 16 Course announcements Homework 4 is still ongoing - Any questions?

More information

CS 5625 Lec 2: Shading Models

CS 5625 Lec 2: Shading Models CS 5625 Lec 2: Shading Models Kavita Bala Spring 2013 Shading Models Chapter 7 Next few weeks Textures Graphics Pipeline Light Emission To compute images What are the light sources? Light Propagation Fog/Clear?

More information

Shading. Brian Curless CSE 557 Autumn 2017

Shading. Brian Curless CSE 557 Autumn 2017 Shading Brian Curless CSE 557 Autumn 2017 1 Reading Optional: Angel and Shreiner: chapter 5. Marschner and Shirley: chapter 10, chapter 17. Further reading: OpenGL red book, chapter 5. 2 Basic 3D graphics

More information

The Rendering Equation. Computer Graphics CMU /15-662, Fall 2016

The Rendering Equation. Computer Graphics CMU /15-662, Fall 2016 The Rendering Equation Computer Graphics CMU 15-462/15-662, Fall 2016 Review: What is radiance? Radiance at point p in direction N is radiant energy ( #hits ) per unit time, per solid angle, per unit area

More information

Today. Global illumination. Shading. Interactive applications. Rendering pipeline. Computergrafik. Shading Introduction Local shading models

Today. Global illumination. Shading. Interactive applications. Rendering pipeline. Computergrafik. Shading Introduction Local shading models Computergrafik Matthias Zwicker Universität Bern Herbst 2009 Today Introduction Local shading models Light sources strategies Compute interaction of light with surfaces Requires simulation of physics Global

More information

Introduction. Lighting model Light reflection model Local illumination model Reflectance model BRDF

Introduction. Lighting model Light reflection model Local illumination model Reflectance model BRDF Shading Introduction Affine transformations help us to place objects into a scene. Before creating images of these objects, we ll look at models for how light interacts with their surfaces. Such a model

More information

Lecture 7 - Path Tracing

Lecture 7 - Path Tracing INFOMAGR Advanced Graphics Jacco Bikker - November 2016 - February 2017 Lecture 7 - I x, x = g(x, x ) ε x, x + S ρ x, x, x I x, x dx Welcome! Today s Agenda: Introduction Advanced Graphics 3 Introduction

More information

Radiometry. Radiometry. Measuring Angle. Solid Angle. Radiance

Radiometry. Radiometry. Measuring Angle. Solid Angle. Radiance Radiometry Radiometry Computer Vision I CSE5A ecture 5-Part II Read Chapter 4 of Ponce & Forsyth Solid Angle Irradiance Radiance BRDF ambertian/phong BRDF Measuring Angle Solid Angle By analogy with angle

More information

BRDF Computer Graphics (Spring 2008)

BRDF Computer Graphics (Spring 2008) BRDF Computer Graphics (Spring 2008) COMS 4160, Lecture 20: Illumination and Shading 2 http://www.cs.columbia.edu/~cs4160 Reflected Radiance proportional to Irradiance Constant proportionality: BRDF [CW

More information

CSE 681 Illumination and Phong Shading

CSE 681 Illumination and Phong Shading CSE 681 Illumination and Phong Shading Physics tells us What is Light? We don t see objects, we see light reflected off of objects Light is a particle and a wave The frequency of light What is Color? Our

More information

Global Illumination. Global Illumination. Direct Illumination vs. Global Illumination. Indirect Illumination. Soft Shadows.

Global Illumination. Global Illumination. Direct Illumination vs. Global Illumination. Indirect Illumination. Soft Shadows. CSCI 420 Computer Graphics Lecture 18 Global Illumination Jernej Barbic University of Southern California BRDFs Raytracing and Radiosity Subsurface Scattering Photon Mapping [Angel Ch. 11] 1 Global Illumination

More information

Illumination Models and Shading

Illumination Models and Shading 1 Illumination Models and Shading Motivation: In order to produce realistic images, we must simulate the appearance of surfaces under various lighting conditions. Illumination Models: Given the illumination

More information

Capturing light. Source: A. Efros

Capturing light. Source: A. Efros Capturing light Source: A. Efros Review Pinhole projection models What are vanishing points and vanishing lines? What is orthographic projection? How can we approximate orthographic projection? Lenses

More information

Reflectance & Lighting

Reflectance & Lighting Reflectance & Lighting Computer Vision I CSE5A Lecture 6 Last lecture in a nutshell Need for lenses (blur from pinhole) Thin lens equation Distortion and aberrations Vignetting CS5A, Winter 007 Computer

More information

Lecture 4: Reflection Models

Lecture 4: Reflection Models Lecture 4: Reflection Models CS 660, Spring 009 Kavita Bala Computer Science Cornell University Outline Light sources Light source characteristics Types of sources Light reflection Physics-based models

More information

Part I The Basic Algorithm. Principles of Photon Mapping. A two-pass global illumination method Pass I Computing the photon map

Part I The Basic Algorithm. Principles of Photon Mapping. A two-pass global illumination method Pass I Computing the photon map Part I The Basic Algorithm 1 Principles of A two-pass global illumination method Pass I Computing the photon map A rough representation of the lighting in the scene Pass II rendering Regular (distributed)

More information

Today. Participating media. Participating media. Rendering Algorithms: Participating Media and. Subsurface scattering

Today. Participating media. Participating media. Rendering Algorithms: Participating Media and. Subsurface scattering Today Rendering Algorithms: Participating Media and Subsurface Scattering Introduction Rendering participating media Rendering subsurface scattering Spring 2009 Matthias Zwicker Participating media Participating

More information

Lighting and Reflectance COS 426

Lighting and Reflectance COS 426 ighting and Reflectance COS 426 Ray Casting R2mage *RayCast(R3Scene *scene, int width, int height) { R2mage *image = new R2mage(width, height); for (int i = 0; i < width; i++) { for (int j = 0; j < height;

More information

Fundamentals of Rendering - Reflectance Functions

Fundamentals of Rendering - Reflectance Functions Fundamentals of Rendering - Reflectance Functions Image Synthesis Torsten Möller Mike Phillips Reading Chapter 8 of Physically Based Rendering by Pharr&Humphreys Chapter 16 in Foley, van Dam et al. Chapter

More information

The Rendering Equation Philip Dutré. Course 4. State of the Art in Monte Carlo Global Illumination Sunday, Full Day, 8:30 am - 5:30 pm

The Rendering Equation Philip Dutré. Course 4. State of the Art in Monte Carlo Global Illumination Sunday, Full Day, 8:30 am - 5:30 pm The Rendering Equation Philip Dutré Course 4. State of the Art in Monte Carlo Global Illumination Sunday, Full Day, 8:30 am - 5:30 pm 1 Overview Rendering Equation Path tracing Path Formulation Various

More information

Radiometry. Reflectance & Lighting. Solid Angle. Radiance. Radiance Power is energy per unit time

Radiometry. Reflectance & Lighting. Solid Angle. Radiance. Radiance Power is energy per unit time Radiometry Reflectance & Lighting Computer Vision I CSE5A Lecture 6 Read Chapter 4 of Ponce & Forsyth Homework 1 Assigned Outline Solid Angle Irradiance Radiance BRDF Lambertian/Phong BRDF By analogy with

More information

A Brief Overview of. Global Illumination. Thomas Larsson, Afshin Ameri Mälardalen University

A Brief Overview of. Global Illumination. Thomas Larsson, Afshin Ameri Mälardalen University A Brief Overview of Global Illumination Thomas Larsson, Afshin Ameri Mälardalen University 1 What is Global illumination? Global illumination is a general name for realistic rendering algorithms Global

More information

6. Illumination, Lighting

6. Illumination, Lighting Jorg s Graphics Lecture Notes 6. Illumination, Lighting 1 6. Illumination, Lighting No ray tracing in OpenGL! ray tracing: direct paths COP interreflection: soft shadows, color bleeding. umbra, penumbra,

More information

MIT Monte-Carlo Ray Tracing. MIT EECS 6.837, Cutler and Durand 1

MIT Monte-Carlo Ray Tracing. MIT EECS 6.837, Cutler and Durand 1 MIT 6.837 Monte-Carlo Ray Tracing MIT EECS 6.837, Cutler and Durand 1 Schedule Review Session: Tuesday November 18 th, 7:30 pm bring lots of questions! Quiz 2: Thursday November 20 th, in class (one weeks

More information

Announcement. Lighting and Photometric Stereo. Computer Vision I. Surface Reflectance Models. Lambertian (Diffuse) Surface.

Announcement. Lighting and Photometric Stereo. Computer Vision I. Surface Reflectance Models. Lambertian (Diffuse) Surface. Lighting and Photometric Stereo CSE252A Lecture 7 Announcement Read Chapter 2 of Forsyth & Ponce Might find section 12.1.3 of Forsyth & Ponce useful. HW Problem Emitted radiance in direction f r for incident

More information

Biased Monte Carlo Ray Tracing

Biased Monte Carlo Ray Tracing Biased Monte Carlo Ray Tracing Filtering, Irradiance Caching, and Photon Mapping Henrik Wann Jensen Stanford University May 23, 2002 Unbiased and Consistent Unbiased estimator: E{X} =... Consistent estimator:

More information

Lighting and Materials

Lighting and Materials http://graphics.ucsd.edu/~henrik/images/global.html Lighting and Materials Introduction The goal of any graphics rendering app is to simulate light Trying to convince the viewer they are seeing the real

More information

BRDFs. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017

BRDFs. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 BRDFs Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 The Rendering Equation Radiance Radiance is a measure of the quantity of light radiation reflected (and/or emitted) from a surface within

More information

Assignment 3: Path tracing

Assignment 3: Path tracing Assignment 3: Path tracing EDAN30 April 2, 2011 In this assignment you will be asked to extend your ray tracer to support path tracing. In order to pass the assignment you need to complete all tasks. Make

More information

Shading. Reading. Pinhole camera. Basic 3D graphics. Brian Curless CSE 557 Fall Required: Shirley, Chapter 10

Shading. Reading. Pinhole camera. Basic 3D graphics. Brian Curless CSE 557 Fall Required: Shirley, Chapter 10 Reading Required: Shirley, Chapter 10 Shading Brian Curless CSE 557 Fall 2014 1 2 Basic 3D graphics With affine matrices, we can now transform virtual 3D objects in their local coordinate systems into

More information

And if that 120MP Camera was cool

And if that 120MP Camera was cool Reflectance, Lights and on to photometric stereo CSE 252A Lecture 7 And if that 120MP Camera was cool Large Synoptic Survey Telescope 3.2Gigapixel camera 189 CCD s, each with 16 megapixels Pixels are 10µm

More information

Rendering Light Reflection Models

Rendering Light Reflection Models Rendering Light Reflection Models Visual Imaging in the Electronic Age Donald P. Greenberg October 3, 2017 Lecture #13 Program of Computer Graphics, Cornell University General Electric - 167 Cornell in

More information

Korrigeringar: An introduction to Global Illumination. Global Illumination. Examples of light transport notation light

Korrigeringar: An introduction to Global Illumination. Global Illumination. Examples of light transport notation light An introduction to Global Illumination Tomas Akenine-Möller Department of Computer Engineering Chalmers University of Technology Korrigeringar: Intel P4 (200): ~42M transistorer Intel P4 EE (2004): 78M

More information

Skylight to enhance outdoor scenes Real-Time Graphics. The atmosphere. Rayleigh scattering. Jeppe Revall Frisvad.

Skylight to enhance outdoor scenes Real-Time Graphics. The atmosphere. Rayleigh scattering. Jeppe Revall Frisvad. Skylight to enhance outdoor scenes 02564 Real-Time Graphics Skylight and irradiance environment maps Jeppe Revall Frisvad March 2016 Esplanade, Saint Clair, Dunedin, New ealand: -45.9121, 170.4893 The

More information

Fundamentals of Rendering - Reflectance Functions

Fundamentals of Rendering - Reflectance Functions Fundamentals of Rendering - Reflectance Functions CMPT 461/761 Image Synthesis Torsten Möller Reading Chapter 8 of Physically Based Rendering by Pharr&Humphreys Chapter 16 in Foley, van Dam et al. Chapter

More information

To Do. Advanced Computer Graphics. Course Outline. Course Outline. Illumination Models. Diffuse Interreflection

To Do. Advanced Computer Graphics. Course Outline. Course Outline. Illumination Models. Diffuse Interreflection Advanced Computer Graphics CSE 163 [Spring 017], Lecture 11 Ravi Ramamoorthi http://www.cs.ucsd.edu/~ravir To Do Assignment due May 19 Should already be well on way. Contact us for difficulties etc. This

More information

Paths, diffuse interreflections, caching and radiometry. D.A. Forsyth

Paths, diffuse interreflections, caching and radiometry. D.A. Forsyth Paths, diffuse interreflections, caching and radiometry D.A. Forsyth How we got here We want to render diffuse interreflections strategy: compute approximation B-hat, then gather B = E +(ρk)e +(ρk)( ˆB

More information

A question from Piazza

A question from Piazza Radiometry, Reflectance, Lights CSE 252A Lecture 6 A question from Piazza 1 Announcements HW1 posted HWO graded, will be returned today If anyone has any registration issues, talk to me. Appearance: lighting,

More information

CS770/870 Spring 2017 Radiosity

CS770/870 Spring 2017 Radiosity Preview CS770/870 Spring 2017 Radiosity Indirect light models Brief radiosity overview Radiosity details bidirectional reflectance radiosity equation radiosity approximation Implementation details hemicube

More information

Lights, Surfaces, and Cameras. Light sources emit photons Surfaces reflect & absorb photons Cameras measure photons

Lights, Surfaces, and Cameras. Light sources emit photons Surfaces reflect & absorb photons Cameras measure photons Reflectance 1 Lights, Surfaces, and Cameras Light sources emit photons Surfaces reflect & absorb photons Cameras measure photons 2 Light at Surfaces Many effects when light strikes a surface -- could be:

More information

Path Tracing part 2. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017

Path Tracing part 2. Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 Path Tracing part 2 Steve Rotenberg CSE168: Rendering Algorithms UCSD, Spring 2017 Monte Carlo Integration Monte Carlo Integration The rendering (& radiance) equation is an infinitely recursive integral

More information

Global Illumination CS334. Daniel G. Aliaga Department of Computer Science Purdue University

Global Illumination CS334. Daniel G. Aliaga Department of Computer Science Purdue University Global Illumination CS334 Daniel G. Aliaga Department of Computer Science Purdue University Recall: Lighting and Shading Light sources Point light Models an omnidirectional light source (e.g., a bulb)

More information

Visualisatie BMT. Rendering. Arjan Kok

Visualisatie BMT. Rendering. Arjan Kok Visualisatie BMT Rendering Arjan Kok a.j.f.kok@tue.nl 1 Lecture overview Color Rendering Illumination 2 Visualization pipeline Raw Data Data Enrichment/Enhancement Derived Data Visualization Mapping Abstract

More information

CS770/870 Spring 2017 Radiosity

CS770/870 Spring 2017 Radiosity CS770/870 Spring 2017 Radiosity Greenberg, SIGGRAPH 86 Tutorial Spencer, SIGGRAPH 93 Slide Set, siggraph.org/education/materials/hypergraph/radiosity/radiosity.htm Watt, 3D Computer Graphics -- Third Edition,

More information

Raytracing & Epsilon. Today. Last Time? Forward Ray Tracing. Does Ray Tracing Simulate Physics? Local Illumination

Raytracing & Epsilon. Today. Last Time? Forward Ray Tracing. Does Ray Tracing Simulate Physics? Local Illumination Raytracing & Epsilon intersects light @ t = 25.2 intersects sphere1 @ t = -0.01 & Monte Carlo Ray Tracing intersects sphere1 @ t = 10.6 Solution: advance the ray start position epsilon distance along the

More information

Illumination. The slides combine material from Andy van Dam, Spike Hughes, Travis Webb and Lyn Fong

Illumination. The slides combine material from Andy van Dam, Spike Hughes, Travis Webb and Lyn Fong INTRODUCTION TO COMPUTER GRAPHIC S Illumination The slides combine material from Andy van Dam, Spike Hughes, Travis Webb and Lyn Fong Andries van Dam October 29, 2009 Illumination Models 1/30 Outline Physical

More information

Realistic Image Synthesis

Realistic Image Synthesis Realistic Image Synthesis Bidirectional Path Tracing & Reciprocity Karol Myszkowski Gurprit Singh Path Sampling Techniques Different techniques of sampling paths from both sides Numbers in parenthesis

More information

Illumination. Michael Kazhdan ( /657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2

Illumination. Michael Kazhdan ( /657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2 Illumination Michael Kazhdan (601.457/657) HB Ch. 14.1, 14.2 FvDFH 16.1, 16.2 Ray Casting Image RayCast(Camera camera, Scene scene, int width, int height) { Image image = new Image(width, height); for

More information

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ =

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ = Radiometry (From Intro to Optics, Pedrotti -4) Radiometry is measurement of Emag radiation (light) Consider a small spherical source Total energy radiating from the body over some time is Q total Radiant

More information

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ =

dq dt I = Irradiance or Light Intensity is Flux Φ per area A (W/m 2 ) Φ = Radiometry (From Intro to Optics, Pedrotti -4) Radiometry is measurement of Emag radiation (light) Consider a small spherical source Total energy radiating from the body over some time is Q total Radiant

More information

Motivation. Advanced Computer Graphics (Fall 2009) CS 283, Lecture 11: Monte Carlo Integration Ravi Ramamoorthi

Motivation. Advanced Computer Graphics (Fall 2009) CS 283, Lecture 11: Monte Carlo Integration Ravi Ramamoorthi Advanced Computer Graphics (Fall 2009) CS 283, Lecture 11: Monte Carlo Integration Ravi Ramamoorthi http://inst.eecs.berkeley.edu/~cs283 Acknowledgements and many slides courtesy: Thomas Funkhouser, Szymon

More information

Introduction to Computer Vision. Introduction CMPSCI 591A/691A CMPSCI 570/670. Image Formation

Introduction to Computer Vision. Introduction CMPSCI 591A/691A CMPSCI 570/670. Image Formation Introduction CMPSCI 591A/691A CMPSCI 570/670 Image Formation Lecture Outline Light and Optics Pinhole camera model Perspective projection Thin lens model Fundamental equation Distortion: spherical & chromatic

More information

Motivation. Monte Carlo Path Tracing. Monte Carlo Path Tracing. Monte Carlo Path Tracing. Monte Carlo Path Tracing

Motivation. Monte Carlo Path Tracing. Monte Carlo Path Tracing. Monte Carlo Path Tracing. Monte Carlo Path Tracing Advanced Computer Graphics (Spring 2013) CS 283, Lecture 11: Monte Carlo Path Tracing Ravi Ramamoorthi http://inst.eecs.berkeley.edu/~cs283/sp13 Motivation General solution to rendering and global illumination

More information

Global Illumination and the Rendering Equation

Global Illumination and the Rendering Equation CS294-13: Special Topics Lecture #3 Advanced Computer Graphics University of California, Berkeley Handout Date??? Global Illumination and the Rendering Equation Lecture #3: Wednesday, 9 September 2009

More information

Illumination Algorithms

Illumination Algorithms Global Illumination Illumination Algorithms Digital Lighting and Rendering CGT 340 The goal of global illumination is to model all possible paths of light to the camera. Global Illumination Global illumination

More information

Computer Graphics. Illumination and Shading

Computer Graphics. Illumination and Shading () Illumination and Shading Dr. Ayman Eldeib Lighting So given a 3-D triangle and a 3-D viewpoint, we can set the right pixels But what color should those pixels be? If we re attempting to create a realistic

More information

Final Project: Real-Time Global Illumination with Radiance Regression Functions

Final Project: Real-Time Global Illumination with Radiance Regression Functions Volume xx (200y), Number z, pp. 1 5 Final Project: Real-Time Global Illumination with Radiance Regression Functions Fu-Jun Luan Abstract This is a report for machine learning final project, which combines

More information

Precomputed Radiance Transfer: Theory and Practice

Precomputed Radiance Transfer: Theory and Practice 1 Precomputed Radiance Transfer: Peter-Pike Sloan Microsoft Jaakko Lehtinen Helsinki Univ. of Techn. & Remedy Entertainment Jan Kautz MIT 2 Introduction Jan Kautz MIT 3 Introduction We see here an example

More information

Introduction to Computer Vision. Week 8, Fall 2010 Instructor: Prof. Ko Nishino

Introduction to Computer Vision. Week 8, Fall 2010 Instructor: Prof. Ko Nishino Introduction to Computer Vision Week 8, Fall 2010 Instructor: Prof. Ko Nishino Midterm Project 2 without radial distortion correction with radial distortion correction Light Light Light! How do you recover

More information

7: Rendering (1) COMP Computer Graphics and Image Processing. Local illumination model. Global illumination model. Direct Direct.

7: Rendering (1) COMP Computer Graphics and Image Processing. Local illumination model. Global illumination model. Direct Direct. COMP27112 Computer Graphics and Image Processing 7: Rendering (1) Toby.Howard@manchester.ac.uk Local and global illumination Direct Direct Direct Direct Indirect Local illumination model Global illumination

More information

Stochastic Path Tracing and Image-based lighting

Stochastic Path Tracing and Image-based lighting EDA101 : Advanced Shading and Rendering Stochastic Path Tracing and Image-based lighting Michael Doggett 2008 Tomas Akenine-Möller 1 This is what we want: Courtesy of Henrik Wann Jensen Courtesy of Paul

More information

EE Light & Image Formation

EE Light & Image Formation EE 576 - Light & Electric Electronic Engineering Bogazici University January 29, 2018 EE 576 - Light & EE 576 - Light & The image of a three-dimensional object depends on: 1. Shape 2. Reflectance properties

More information

Lecture 7: Monte Carlo Rendering. MC Advantages

Lecture 7: Monte Carlo Rendering. MC Advantages Lecture 7: Monte Carlo Rendering CS 6620, Spring 2009 Kavita Bala Computer Science Cornell University MC Advantages Convergence rate of O( ) Simple Sampling Point evaluation Can use black boxes General

More information

Image Formation: Light and Shading. Introduction to Computer Vision CSE 152 Lecture 3

Image Formation: Light and Shading. Introduction to Computer Vision CSE 152 Lecture 3 Image Formation: Light and Shading CSE 152 Lecture 3 Announcements Homework 1 is due Apr 11, 11:59 PM Homework 2 will be assigned on Apr 11 Reading: Chapter 2: Light and Shading Geometric image formation

More information

Spectral Color and Radiometry

Spectral Color and Radiometry Spectral Color and Radiometry Louis Feng April 13, 2004 April 13, 2004 Realistic Image Synthesis (Spring 2004) 1 Topics Spectral Color Light and Color Spectrum Spectral Power Distribution Spectral Color

More information

Family of Energy Conserving Glossy Reflection Models

Family of Energy Conserving Glossy Reflection Models Family of Energy Conserving Glossy Reflection Models Michal Radziszewski and Witold Alda AGH University of Science and Technology, al. Mickiewicza 3, 3-59 Krakow, Poland mradzisz@student.agh.edu.pl, alda@agh.edu.pl

More information

Lecture 12: Photon Mapping. Biased Methods

Lecture 12: Photon Mapping. Biased Methods Lecture 12: Photon Mapping CS 6620, Spring 2009 Kavita Bala Computer Science Cornell University MC problems Biased Methods Biased methods: store information (caching) Better type of noise: blurring Greg

More information

Light Field Spring

Light Field Spring Light Field 2015 Spring Recall: Light is Electromagnetic radiation (EMR) moving along rays in space R(l) is EMR, measured in units of power (watts) l is wavelength Useful things: Light travels in straight

More information

Light, Reflectance, and Global Illumination

Light, Reflectance, and Global Illumination Light, Reflectance, and Global Illumination TOPICS: Survey of Representations for Light and Visibility Color, Perception, and Light Reflectance Cost of Ray Tracing Global Illumination Overview Radiosity

More information

w Foley, Section16.1 Reading

w Foley, Section16.1 Reading Shading w Foley, Section16.1 Reading Introduction So far, we ve talked exclusively about geometry. w What is the shape of an object? w How do I place it in a virtual 3D space? w How do I know which pixels

More information

Photometric Stereo. Lighting and Photometric Stereo. Computer Vision I. Last lecture in a nutshell BRDF. CSE252A Lecture 7

Photometric Stereo. Lighting and Photometric Stereo. Computer Vision I. Last lecture in a nutshell BRDF. CSE252A Lecture 7 Lighting and Photometric Stereo Photometric Stereo HW will be on web later today CSE5A Lecture 7 Radiometry of thin lenses δa Last lecture in a nutshell δa δa'cosα δacos β δω = = ( z' / cosα ) ( z / cosα

More information

Announcements. Image Formation: Light and Shading. Photometric image formation. Geometric image formation

Announcements. Image Formation: Light and Shading. Photometric image formation. Geometric image formation Announcements Image Formation: Light and Shading Homework 0 is due Oct 5, 11:59 PM Homework 1 will be assigned on Oct 5 Reading: Chapters 2: Light and Shading CSE 252A Lecture 3 Geometric image formation

More information

CS6670: Computer Vision

CS6670: Computer Vision CS6670: Computer Vision Noah Snavely Lecture 20: Light, reflectance and photometric stereo Light by Ted Adelson Readings Szeliski, 2.2, 2.3.2 Light by Ted Adelson Readings Szeliski, 2.2, 2.3.2 Properties

More information

Photon Mapping. Michael Doggett Department of Computer Science Lund university

Photon Mapping. Michael Doggett Department of Computer Science Lund university Photon Mapping Michael Doggett Department of Computer Science Lund university Outline Photon Mapping (ch. 14 in textbook) Progressive Stochastic 2011 Michael Doggett How to make light sampling faster?

More information

CS667 Lecture Notes: Radiometry

CS667 Lecture Notes: Radiometry CS667 Lecture Notes: Radiometry Steve Marschner Cornell University 23-28 August 2007 Radiometry is a system for describing the flow of radiant energy through space. It is essentially a geometric topic

More information