Starting this chapter
|
|
- Austin Wilkins
- 5 years ago
- Views:
Transcription
1 Computer Vision 5. Source, Shadow, Shading Department of Computer Engineering Jin-Ho Choi 05, April, /40 Starting this chapter The basic radiometric properties of various light sources Develop models of source geometries discuss the radiosity Shadows that result from these sources. Establish a usable model of the shading on a surface Representation of shape Albedo of object under different lights Describe surfaces reflect light onto one another 2/40
2 3.1 Radiometric Properties of Light Source Light source : emit light Source emit in each direction Emitted radiance is dealt with separately from reflected radiance The geometry of source Sources are modelled with simple geometries 1. Point source or line source 2. Sources with simple geometries get complex effects 3/ Radiometric Properties of Light Source Spectral radiance source emits in each direction Emitting constant radiance in each direction : extiance Coloured source use spectral exitance or spectral radiance Sources can have radiosity and exitance nglish 4/40
3 32Q 3.2 Qualitative ti Radiometry What a source look like from the surface Gives qualitative descriptions of brightness Lambert s wall 5/40 More complex wall 6/40
4 3.3 Sources and their effects Light source Anything that emits light that is internally generated similar to radiosity: a source can have both radiosity, because it reflects exitance, because it emits Exitance The internally generated energy radiated per unit time and per unit area on the radiating surface. Sources Point source Line source Area source 7/ Sources and their effects How bright (or what color) are objects or sources? General idea: B(x) E (x) radiosity due to incoming radiance d But what aspects of the incoming radiance will we model? 8/40
5 3.3.1 Point Sources 9/ Point Sources 10/40
6 3.3.1 Point Sources 11/ Point Sources Choosing a Point Source Model A point source at infinity is good model for the sun Poor model : objects is similar in magnitude to distance to source Consider surface patches Consider light bulb in center of room 12/40
7 3.3.2 Line Sources Line Source of good example is single fluorescent light bulb Main interest is radiometric problem 13/ Line sources radiosity due to line source varies with inverse distance, if the source is long enough 14/40
8 3.3.3 Area sources 15/ Area sources 16/40
9 3.4 Local Shading Models We have studied the physics of light Bright things Extracting object information from these models Fraught with all difficulties involved in choosing model Local shading model 17/ Local shading model by a point source 18/40
10 3.4.1 Local shading model by a point source A point that can t seethe source is in shadow For point sources, the geometry is simple 19/ Local shading model by a point source The Appearance of Shadows Shadows occur when the patch can not see one or more sources Any patch on plane is in shadow if ray from patch to source passes through an object If there are many source, shadows will be less dark 20/40
11 3.4.2 Area Sources and their Shadows Local Shading model become : Area sources do not dark shadows with crisp boundaries It is common to distinguish between points in the umbra Points in the penumbra 21/ Area Sources and their Shadows 22/40
12 3.4.3 Ambient Illumination Local shading models problem They predict that some shadow regions are arbitrarily dark This prediction is inaccurate in almost every case Change the environments : Ambient In such an environment it is sometimes possible to model the effect of other patches by adding an ambient illumination term to each patch s radiosity. 23/ Ambient Illumination 24/40
13 3.5 Application: Photometric Stereo Assume: a local shading model a set of point sources that are infinitely distant a set of pictures of an object, obtained in exactly the same camera/object configuration but using different sources A Lambertian object (or the specular component has been identified and removed) 25/40 Projection model for surface recovery - usually called a Monge patch 26/40
14 3.5 Application: Photometric Stereo 27/ Normal and Aledo from Many Views 28/40
15 3.5.1 Normal and Aledo from Many Views 29/ Normal and Aledo from Many Views 30/40
16 Recovering normal and reflectance Given sufficient sources, we can solve the previous equation (most likely need a least squares solution) for g(x, y) Recall that N(x, y) is the unit normal This means that x,y) is the magnitude of g(x, y) This yields a check And If the magnitude of g(x, y) is greater than 1, there s a problem N(x, y) = g(x, y) / x,y) 31/ Shape from Normals 32/40
17 Surface recovered by integration 33/ Interreflections: Global Shading How to simplify interreflection models without losing essential qualitative properties 34/40
18 3.6.1 An Interreflection Model 35/ Solving for Radiosity 36/40
19 3.6.2 Solving for Radiosity 37/40 Shading models Local shading model Surface has radiosity due only to sources visible at each point Advantages: often easy to manipulate, expressions easy supports quite simple theories of how shape information can be extracted from shading Global shading model surface radiosity is due to radiance reflected from other surfaces as well as from surfaces Advantages: usually very accurate Disadvantage: extremely difficult to infer anything from shading values 38/40
20 Image model For each point source, Out of shadow: we know the source vector (by assumption). I j (x, y) kb(x, ( y) We assume we know the k (x, y) N(x, y) S j scaling constant of the linear camera. Fold the g(x,y) V j normal and the reflectance into one In shadow: vector g, and the scaling constant and source I j (x,y) 0 vector into another V j 39/40 Summary local shading model is a poor description of physical processes that give rise to images because surfaces reflect light onto one another easy to model This is a major nuisance; the distribution of light (in principle) depends on the configuration of every radiator; big distant ones are as important as small nearby ones It appears to be hard to extract information from these models Global shading model : Ambient illumination, interreflections 40/40
Sources, shadows and shading
Sources, shadows and shading But how bright (or what colour) are objects? One more definition: Exitance of a source is the internally generated power radiated per unit area on the radiating surface similar
More informationAnnouncement. 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 informationGlobal Illumination. Frank Dellaert Some slides by Jim Rehg, Philip Dutre
Global Illumination Frank Dellaert Some slides by Jim Rehg, Philip Dutre Color and Radiometry What is color? What is Color? A perceptual attribute of objects and scenes constructed by the visual system
More informationCapturing 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 informationSOURCES, SHADOWS AND SHADING
Chapter 3 SOURCES, SHADOWS AND SHADING We shall start by describing the basic radiometric properties of various light sources. We shall then develop models of source geometries and discuss the radiosity
More informationAnd 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 informationPhotometric Stereo, Shape from Shading SfS Chapter Szelisky
Photometric Stereo, Shape from Shading SfS Chapter 12.1.1. Szelisky Guido Gerig CS 6320, Spring 2012 Credits: M. Pollefey UNC CS256, Ohad Ben-Shahar CS BGU, Wolff JUN (http://www.cs.jhu.edu/~wolff/course600.461/week9.3/index.htm)
More informationPhotometric*Stereo* October*8,*2013* Dr.*Grant*Schindler* *
Photometric*Stereo* October*8,*2013* Dr.*Grant*Schindler* * schindler@gatech.edu* Mul@ple*Images:*Different*Ligh@ng* Mul@ple*Images:*Different*Ligh@ng* Mul@ple*Images:*Different*Ligh@ng* Religh@ng*the*Scene*
More informationAnnouncements. Radiometry and Sources, Shadows, and Shading
Announcements Radiometry and Sources, Shadows, and Shading CSE 252A Lecture 6 Instructor office hours This week only: Thursday, 3:45 PM-4:45 PM Tuesdays 6:30 PM-7:30 PM Library (for now) Homework 1 is
More informationOther approaches to obtaining 3D structure
Other approaches to obtaining 3D structure Active stereo with structured light Project structured light patterns onto the object simplifies the correspondence problem Allows us to use only one camera camera
More informationRadiance. Pixels measure radiance. This pixel Measures radiance along this ray
Photometric stereo Radiance Pixels measure radiance This pixel Measures radiance along this ray Where do the rays come from? Rays from the light source reflect off a surface and reach camera Reflection:
More informationIntroduction 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 informationPhotometric 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 informationLigh%ng and Reflectance
Ligh%ng and Reflectance 2 3 4 Ligh%ng Ligh%ng can have a big effect on how an object looks. Modeling the effect of ligh%ng can be used for: Recogni%on par%cularly face recogni%on Shape reconstruc%on Mo%on
More informationCS5670: Computer Vision
CS5670: Computer Vision Noah Snavely Light & Perception Announcements Quiz on Tuesday Project 3 code due Monday, April 17, by 11:59pm artifact due Wednesday, April 19, by 11:59pm Can we determine shape
More informationPhotometric Stereo.
Photometric Stereo Photometric Stereo v.s.. Structure from Shading [1] Photometric stereo is a technique in computer vision for estimating the surface normals of objects by observing that object under
More informationImage 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 informationLecture 22: Basic Image Formation CAP 5415
Lecture 22: Basic Image Formation CAP 5415 Today We've talked about the geometry of scenes and how that affects the image We haven't talked about light yet Today, we will talk about image formation and
More informationCS6670: 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 informationLecture 15: Shading-I. CITS3003 Graphics & Animation
Lecture 15: Shading-I CITS3003 Graphics & Animation E. Angel and D. Shreiner: Interactive Computer Graphics 6E Addison-Wesley 2012 Objectives Learn that with appropriate shading so objects appear as threedimensional
More informationModule 5: Video Modeling Lecture 28: Illumination model. The Lecture Contains: Diffuse and Specular Reflection. Objectives_template
The Lecture Contains: Diffuse and Specular Reflection file:///d /...0(Ganesh%20Rana)/MY%20COURSE_Ganesh%20Rana/Prof.%20Sumana%20Gupta/FINAL%20DVSP/lecture%2028/28_1.htm[12/30/2015 4:22:29 PM] Diffuse and
More informationPaths, 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 informationAnnouncements. 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 informationRadiometry. 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 informationLecture 1 Image Formation.
Lecture 1 Image Formation peimt@bit.edu.cn 1 Part 3 Color 2 Color v The light coming out of sources or reflected from surfaces has more or less energy at different wavelengths v The visual system responds
More informationRadiometry Measuring Light
1 Radiometry Measuring Light CS 554 Computer Vision Pinar Duygulu Bilkent University 2 How do we see? [Plato] from our eyes flows a light similar to the light of the sun [Chalcidius, middle ages] Therefore,
More informationLighting and Shading Computer Graphics I Lecture 7. Light Sources Phong Illumination Model Normal Vectors [Angel, Ch
15-462 Computer Graphics I Lecture 7 Lighting and Shading February 12, 2002 Frank Pfenning Carnegie Mellon University http://www.cs.cmu.edu/~fp/courses/graphics/ Light Sources Phong Illumination Model
More informationCS6670: Computer Vision
CS6670: Computer Vision Noah Snavely Lecture 21: Light, reflectance and photometric stereo Announcements Final projects Midterm reports due November 24 (next Tuesday) by 11:59pm (upload to CMS) State the
More informationUsing a Raster Display Device for Photometric Stereo
DEPARTMEN T OF COMP UTING SC IENC E Using a Raster Display Device for Photometric Stereo Nathan Funk & Yee-Hong Yang CRV 2007 May 30, 2007 Overview 2 MODEL 3 EXPERIMENTS 4 CONCLUSIONS 5 QUESTIONS 1. Background
More informationEpipolar geometry contd.
Epipolar geometry contd. Estimating F 8-point algorithm The fundamental matrix F is defined by x' T Fx = 0 for any pair of matches x and x in two images. Let x=(u,v,1) T and x =(u,v,1) T, each match gives
More informationCS4670/5760: Computer Vision
CS4670/5760: Computer Vision Kavita Bala! Lecture 28: Photometric Stereo Thanks to ScoC Wehrwein Announcements PA 3 due at 1pm on Monday PA 4 out on Monday HW 2 out on weekend Next week: MVS, sfm Last
More informationUnderstanding Variability
Understanding Variability Why so different? Light and Optics Pinhole camera model Perspective projection Thin lens model Fundamental equation Distortion: spherical & chromatic aberration, radial distortion
More informationCS4670/5760: Computer Vision Kavita Bala Scott Wehrwein. Lecture 23: Photometric Stereo
CS4670/5760: Computer Vision Kavita Bala Scott Wehrwein Lecture 23: Photometric Stereo Announcements PA3 Artifact due tonight PA3 Demos Thursday Signups close at 4:30 today No lecture on Friday Last Time:
More informationShading and Recognition OR The first Mrs Rochester. D.A. Forsyth, UIUC
Shading and Recognition OR The first Mrs Rochester D.A. Forsyth, UIUC Structure Argument: History why shading why shading analysis died reasons for hope Classical SFS+Critiques Primitives Reconstructions
More informationAssignment #2. (Due date: 11/6/2012)
Computer Vision I CSE 252a, Fall 2012 David Kriegman Assignment #2 (Due date: 11/6/2012) Name: Student ID: Email: Problem 1 [1 pts] Calculate the number of steradians contained in a spherical wedge with
More informationLighting. Figure 10.1
We have learned to build three-dimensional graphical models and to display them. However, if you render one of our models, you might be disappointed to see images that look flat and thus fail to show the
More informationColour Reading: Chapter 6. Black body radiators
Colour Reading: Chapter 6 Light is produced in different amounts at different wavelengths by each light source Light is differentially reflected at each wavelength, which gives objects their natural colours
More informationRAYTRACING. Christopher Peters INTRODUCTION TO COMPUTER GRAPHICS AND INTERACTION. HPCViz, KTH Royal Institute of Technology, Sweden
DH2323 DGI15 INTRODUCTION TO COMPUTER GRAPHICS AND INTERACTION RAYTRACING HPCViz, KTH Royal Institute of Technology, Sweden http://kth.academia.edu/christopheredwardpeters Based on DGI12 notes by Carl
More informationCHAPTER 9. Classification Scheme Using Modified Photometric. Stereo and 2D Spectra Comparison
CHAPTER 9 Classification Scheme Using Modified Photometric Stereo and 2D Spectra Comparison 9.1. Introduction In Chapter 8, even we combine more feature spaces and more feature generators, we note that
More informationImage Processing 1 (IP1) Bildverarbeitung 1
MIN-Fakultät Fachbereich Informatik Arbeitsbereich SAV/BV (KOGS) Image Processing 1 (IP1) Bildverarbeitung 1 Lecture 20: Shape from Shading Winter Semester 2015/16 Slides: Prof. Bernd Neumann Slightly
More informationA Survey of Light Source Detection Methods
A Survey of Light Source Detection Methods Nathan Funk University of Alberta Mini-Project for CMPUT 603 November 30, 2003 Abstract This paper provides an overview of the most prominent techniques for light
More informationVolume Illumination, Contouring
Volume Illumination, Contouring Computer Animation and Visualisation Lecture 0 tkomura@inf.ed.ac.uk Institute for Perception, Action & Behaviour School of Informatics Contouring Scaler Data Overview -
More informationThe Rendering Equation & Monte Carlo Ray Tracing
Last Time? Local Illumination & Monte Carlo Ray Tracing BRDF Ideal Diffuse Reflectance Ideal Specular Reflectance The Phong Model Radiosity Equation/Matrix Calculating the Form Factors Aj Ai Reading for
More informationGlobal 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 informationCMSC427 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 informationLight. Properties of light. What is light? Today What is light? How do we measure it? How does light propagate? How does light interact with matter?
Light Properties of light Today What is light? How do we measure it? How does light propagate? How does light interact with matter? by Ted Adelson Readings Andrew Glassner, Principles of Digital Image
More informationIntroduction 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 informationSchedule. MIT Monte-Carlo Ray Tracing. Radiosity. Review of last week? Limitations of radiosity. Radiosity
Schedule Review Session: Tuesday November 18 th, 7:30 pm, Room 2-136 bring lots of questions! MIT 6.837 Monte-Carlo Ray Tracing Quiz 2: Thursday November 20 th, in class (one weeks from today) MIT EECS
More informationSolutions Manual Computer Vision A Modern Approach 2nd Edition David A. Forsyth
Solutions Manual Computer Vision A Modern Approach 2nd Edition David A. Forsyth Instant download and all chapters Computer Vision A Modern Approach 2nd Edition David A. Forsyth SOLUTIONS MANUAL https://testbankdata.com/download/solutions-manual-computer-visionmodern-approach-2nd-edition-david-forsyth/
More informationA 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 informationGlobal 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 informationCOMPUTER GRAPHICS AND INTERACTION
DH2323 DGI17 COMPUTER GRAPHICS AND INTERACTION INTRODUCTION TO RAYTRACING Christopher Peters CST, KTH Royal Institute of Technology, Sweden chpeters@kth.se http://kth.academia.edu/christopheredwardpeters
More informationLighting and Shading. Slides: Tamar Shinar, Victor Zordon
Lighting and Shading Slides: Tamar Shinar, Victor Zordon Why we need shading Suppose we build a model of a sphere using many polygons and color each the same color. We get something like But we want 2
More informationHomework 4 Computer Vision CS 4731, Fall 2011 Due Date: Nov. 15, 2011 Total Points: 40
Homework 4 Computer Vision CS 4731, Fall 2011 Due Date: Nov. 15, 2011 Total Points: 40 Note 1: Both the analytical problems and the programming assignments are due at the beginning of class on Nov 15,
More informationLocal vs. Global Illumination & Radiosity
Last Time? Local vs. Global Illumination & Radiosity Ray Casting & Ray-Object Intersection Recursive Ray Tracing Distributed Ray Tracing An early application of radiative heat transfer in stables. Reading
More informationOverview. 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 informationGlobal Illumination. COMP 575/770 Spring 2013
Global Illumination COMP 575/770 Spring 2013 Final Exam and Projects COMP 575 Final Exam Friday, May 3 4:00 pm COMP 770 (and 575 extra credit) Projects Final report due by end of day, May 1 Presentations:
More information6. 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 informationMIT 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 informationShadows. COMP 575/770 Spring 2013
Shadows COMP 575/770 Spring 2013 Shadows in Ray Tracing Shadows are important for realism Basic idea: figure out whether a point on an object is illuminated by a light source Easy for ray tracers Just
More informationLambertian model of reflectance I: shape from shading and photometric stereo. Ronen Basri Weizmann Institute of Science
Lambertian model of reflectance I: shape from shading and photometric stereo Ronen Basri Weizmann Institute of Science Variations due to lighting (and pose) Relief Dumitru Verdianu Flying Pregnant Woman
More informationLightscape A Tool for Design, Analysis and Presentation. Architecture Integrated Building Systems
Lightscape A Tool for Design, Analysis and Presentation Architecture 4.411 Integrated Building Systems Lightscape A Tool for Design, Analysis and Presentation Architecture 4.411 Building Technology Laboratory
More informationMeasuring Light: Radiometry and Cameras
Lecture 11: Measuring Light: Radiometry and Cameras Computer Graphics CMU 15-462/15-662, Fall 2015 Slides credit: a majority of these slides were created by Matt Pharr and Pat Hanrahan Simulating a pinhole
More informationRadiometry 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 informationCMSC427 Advanced shading getting global illumination by local methods. Credit: slides Prof. Zwicker
CMSC427 Advanced shading getting global illumination by local methods Credit: slides Prof. Zwicker Topics Shadows Environment maps Reflection mapping Irradiance environment maps Ambient occlusion Reflection
More informationToday. 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 informationThe Animation Process. Lighting: Illusions of Illumination
The Animation Process Lighting: Illusions of Illumination Lighting = realism Although real people versus real clay/plastic is up to textures Realistic lighting = render time Some properties of lights Colour
More informationCS130 : Computer Graphics Lecture 8: Lighting and Shading. Tamar Shinar Computer Science & Engineering UC Riverside
CS130 : Computer Graphics Lecture 8: Lighting and Shading Tamar Shinar Computer Science & Engineering UC Riverside Why we need shading Suppose we build a model of a sphere using many polygons and color
More informationCENG 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 informationLighting affects appearance
Lighting affects appearance 1 Source emits photons Light And then some reach the eye/camera. Photons travel in a straight line When they hit an object they: bounce off in a new direction or are absorbed
More informationToday. Anti-aliasing Surface Parametrization Soft Shadows Global Illumination. Exercise 2. Path Tracing Radiosity
Today Anti-aliasing Surface Parametrization Soft Shadows Global Illumination Path Tracing Radiosity Exercise 2 Sampling Ray Casting is a form of discrete sampling. Rendered Image: Sampling of the ground
More informationComp 410/510 Computer Graphics. Spring Shading
Comp 410/510 Computer Graphics Spring 2017 Shading Why we need shading Suppose we build a model of a sphere using many polygons and then color it using a fixed color. We get something like But we rather
More informationSimple Lighting/Illumination Models
Simple Lighting/Illumination Models Scene rendered using direct lighting only Photograph Scene rendered using a physically-based global illumination model with manual tuning of colors (Frederic Drago and
More informationL2 Data Acquisition. Mechanical measurement (CMM) Structured light Range images Shape from shading Other methods
L2 Data Acquisition Mechanical measurement (CMM) Structured light Range images Shape from shading Other methods 1 Coordinate Measurement Machine Touch based Slow Sparse Data Complex planning Accurate 2
More informationLights, 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 informationShape from shading. Surface brightness and Surface Orientation --> Reflectance map READING: Nalwa Chapter 5. BKP Horn, Chapter 10.
Shape from shading Surface brightness and Surface Orientation --> Reflectance map READING: Nalwa Chapter 5. BKP Horn, Chapter 10. May 2004 SFS 1 Shading produces a compelling perception of 3-D shape. One
More informationGLOBAL ILLUMINATION. Christopher Peters INTRODUCTION TO COMPUTER GRAPHICS AND INTERACTION
DH2323 DGI17 INTRODUCTION TO COMPUTER GRAPHICS AND INTERACTION GLOBAL ILLUMINATION Christopher Peters CST, KTH Royal Institute of Technology, Sweden chpeters@kth.se http://kth.academia.edu/christopheredwardpeters
More informationIllumination in Computer Graphics
Illumination in Computer Graphics Ann McNamara Illumination in Computer Graphics Definition of light sources. Analysis of interaction between light and objects in a scene. Rendering images that are faithful
More informationHW2. October 24, CSE 252A Computer Vision I Fall Assignment 2
HW2 October 24, 2018 1 CSE 252A Computer Vision I Fall 2018 - Assignment 2 1.0.1 Instructor: David Kriegman 1.0.2 Assignment Published On: Wednesday, October 24, 2018 1.0.3 Due On: Wednesday, November
More informationCS 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 informationGlobal Rendering. Ingela Nyström 1. Effects needed for realism. The Rendering Equation. Local vs global rendering. Light-material interaction
Effects needed for realism Global Rendering Computer Graphics 1, Fall 2005 Lecture 7 4th ed.: Ch 6.10, 12.1-12.5 Shadows Reflections (Mirrors) Transparency Interreflections Detail (Textures etc.) Complex
More information9. Illumination and Shading
9. Illumination and Shading Approaches for visual realism: - Remove hidden surfaces - Shade visible surfaces and reproduce shadows - Reproduce surface properties Texture Degree of transparency Roughness,
More informationGeneral Principles of 3D Image Analysis
General Principles of 3D Image Analysis high-level interpretations objects scene elements Extraction of 3D information from an image (sequence) is important for - vision in general (= scene reconstruction)
More informationWhy study Computer Vision?
Computer Vision Why study Computer Vision? Images and movies are everywhere Fast-growing collection of useful applications building representations of the 3D world from pictures automated surveillance
More informationRendering: Reality. Eye acts as pinhole camera. Photons from light hit objects
Basic Ray Tracing Rendering: Reality Eye acts as pinhole camera Photons from light hit objects Rendering: Reality Eye acts as pinhole camera Photons from light hit objects Rendering: Reality Eye acts as
More informationAnnouncements. Photometric Stereo. Shading reveals 3-D surface geometry. Photometric Stereo Rigs: One viewpoint, changing lighting
Announcements Today Photometric Stereo, next lecture return to stereo Photometric Stereo Introduction to Computer Vision CSE152 Lecture 16 Shading reveals 3-D surface geometry Two shape-from-x methods
More informationPerception of Shape from Shading
1 Percetion of Shae from Shading Continuous image brightness variation due to shae variations is called shading Our ercetion of shae deends on shading Circular region on left is erceived as a flat disk
More informationToday. Global illumination. Shading. Interactive applications. Rendering pipeline. Computergrafik. Shading Introduction Local shading models
Computergrafik Thomas Buchberger, Matthias Zwicker Universität Bern Herbst 2008 Today Introduction Local shading models Light sources strategies Compute interaction of light with surfaces Requires simulation
More informationSkeleton Cube for Lighting Environment Estimation
(MIRU2004) 2004 7 606 8501 E-mail: {takesi-t,maki,tm}@vision.kuee.kyoto-u.ac.jp 1) 2) Skeleton Cube for Lighting Environment Estimation Takeshi TAKAI, Atsuto MAKI, and Takashi MATSUYAMA Graduate School
More informationIllumination. 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 informationIntroduction 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 informationVirtual Reality for Human Computer Interaction
Virtual Reality for Human Computer Interaction Appearance: Lighting Representation of Light and Color Do we need to represent all I! to represent a color C(I)? No we can approximate using a three-color
More informationRadiance. 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 informationIllumination and Shading
Illumination and Shading Light sources emit intensity: assigns intensity to each wavelength of light Humans perceive as a colour - navy blue, light green, etc. Exeriments show that there are distinct I
More informationTopic 9: Lighting & Reflection models 9/10/2016. Spot the differences. Terminology. Two Components of Illumination. Ambient Light Source
Topic 9: Lighting & Reflection models Lighting & reflection The Phong reflection model diffuse component ambient component specular component Spot the differences Terminology Illumination The transport
More informationAnnouncements. Image Formation: Outline. Homogenous coordinates. Image Formation and Cameras (cont.)
Announcements Image Formation and Cameras (cont.) HW1 due, InitialProject topics due today CSE 190 Lecture 6 Image Formation: Outline Factors in producing images Projection Perspective Vanishing points
More informationTopic 9: Lighting & Reflection models. Lighting & reflection The Phong reflection model diffuse component ambient component specular component
Topic 9: Lighting & Reflection models Lighting & reflection The Phong reflection model diffuse component ambient component specular component Spot the differences Terminology Illumination The transport
More informationAnnouncements. Lighting. Camera s sensor. HW1 has been posted See links on web page for readings on color. Intro Computer Vision.
Announcements HW1 has been posted See links on web page for readings on color. Introduction to Computer Vision CSE 152 Lecture 6 Deviations from the lens model Deviations from this ideal are aberrations
More informationCOMP 558 lecture 16 Nov. 8, 2010
Shading The term shading typically refers to variations in irradiance along a smooth Lambertian surface. Recall that if a surface point is illuminated by parallel light source from direction l, then the
More informationAnnouncements. Rotation. Camera Calibration
Announcements HW1 has been posted See links on web page for reading Introduction to Computer Vision CSE 152 Lecture 5 Coordinate Changes: Rigid Transformations both translation and rotatoin Rotation About
More information