Capturing Shape and Reflectance of Food
|
|
- Chad Bishop
- 5 years ago
- Views:
Transcription
1
2 Capturing Shape and Reflectance of Food C. Schwartz*, M. Weinmann*, R. Ruiters*, A. Zinke, R. Sarlette*, R. Klein* *University of Bonn / GfAR mbh
3 Goal Photorealistic 3D content Usable in arbitrary synthetic scenes Occlusion, shadowing and light transport Challenging: fresh foods People are experienced Small mistake implausible result Shape + reflectance Creation difficult and lengthy Even for expert 3D artists
4 Complex Appearance Sugarcoating (specularity) Custard (sub-surface scattering) Dough (fine geometry) Mixed materials
5 Modeling by Example Light transport from real-world objects Viewpoint and Illumination dependent Spatially varying
6 Looking at the Scale Macroscopic Mesoscopic Microscopic
7 Looking at the Scale Macroscopic Mesoscopic Microscopic
8 Looking at the Scale Macroscopic Mesoscopic Microscopic
9 Looking at the Scale Macroscopic Mesoscopic Microscopic 3D shape Explicit representation (polygon mesh) Resolved by human perception statistical insufficient explicit too costly Microfacets Statistical representation (BRDF)
10 Looking at the Scale Macroscopic Mesoscopic Microscopic 3D shape Explicit representation (polygon mesh) Polygons Resolved by human perception statistical insufficient explicit too costly Microfacets Statistical representation (BRDF) Bidirectional Texture Func.
11 Bidirectional Texture Function Surface
12 Previous Work Furukawa et al First time BTF on Geometry Photograph Rendering
13 Previous Work Holroyd et al Geometry + SVBRDF Model assumption 42 view and light directions in 5 hours Photograph Rendering
14 Previous Work Schwartz et al Geometry + BTF 22,801 view and light directions in 2 3 hours Photograph Rendering
15 Previous Work Method No object movement Dense Sampling Fast Acquisition time Quality Furukawa 2002 Holroyd 2010 Schwartz 2011
16 Acquisition pipeline Real Object Image Acquisition Structured Light HDR Images View/Light Dependent HDR Images Schwartz et al Geometry Reconstruction Weinmann et al Digitized Object BTF Resampling & Hole Filling Camera Calibration 3D Mesh
17 The Capture Setup Hemispherical gantry 151 cameras: Canon PowerShot G9 12 Megapixels Integrated flash Rapid acquisition 8 projectors: LG HS200G Completely computer controlled
18 Reflectance Measurement Light/view combinations: 151 flashes 151 cams HDR: 2 4 exposures 45k 90k images minutes Few flash discharges a few seconds under 100W tungsten lamp
19 Geometry Measurement Structured Light 8 projectors 42 patterns 151 cameras HDR: 2 3 exposures Ca. 100k - 150k images Ca. 60 minutes
20 Geometry Reconstruction From Structured Light: Weinmann et al V U
21 Appearance Reconstruction For every point: Measurement Tabulated ( ) Camera hemispheres BTF Tabulated ( ) In local orientation Local hemispheres
22 Appearance Reconstruction Gather samples Not measured Irregular Occlusion
23 Resampling & Holefilling From Schwartz et al. 2011: Scattered Data interpolation Clustering of surface materials Hole filling from clusters Captured data whenever possible
24 Datasets Geometry: Tri-Mesh 25k 40k vertices (50k 75k Δ) Fine details (mesoscopic) in BTF Appearance: BTF Spatial resolution Angular resolution Uncompressed: 326 GB Compressed: 1 GB 280MB Acquisition: minutes Resampling: 15 hours Compression: 5 hours V U
25 Pathtraced Novel Scene
26 Food specific considerations Food changes appearance! Acquisition: Cooling to 16 C Reflectance before shape Preparation: apple treated with lemon juice BTF handles parallax and shadows
27 Food specific considerations Food exhibits sub-surface scattering (SSS)! BTF includes local SSS in front facing hemisphere
28 Discussion Directed illumination fails to reproduce SSS Unrealistic results Environment illumination facilitates SSS from BTF Convincing results
29 Conclusion & Future Work Photorealistic 3D food content Image based approach Schwartz et al Rapid integrated acquisition Geometry + BTF + Environment lighting Promising results Future Work: Adding non-local SSS and translucency (eg. Grapes) Tracking changes
30 Acknowledgements The research leading to these results was partially funded by the European Community s Seventh Framework Programme (FP7/ ) under grant agreement n ; , the German Science Foundation (DFG) under research grant KL 1142/4-1 and by GfaR mbh.
31
Integrated High-Quality Acquisition of Geometry and Appearance for Cultural Heritage
Integrated High-Quality Acquisition of Geometry and Appearance for Cultural Heritage Christopher Schwartz, Michael Weinmann, Roland Ruiters, Reinhard Klein Institute of Computer Science II Computer Graphics
More informationChapter 7. Conclusions and Future Work
Chapter 7 Conclusions and Future Work In this dissertation, we have presented a new way of analyzing a basic building block in computer graphics rendering algorithms the computational interaction between
More informationSynthesis of Textures with Intricate Geometries using BTF and Large Number of Textured Micropolygons. Abstract. 2. Related studies. 1.
Synthesis of Textures with Intricate Geometries using BTF and Large Number of Textured Micropolygons sub047 Abstract BTF has been studied extensively and much progress has been done for measurements, compression
More informationHybrid Textons: Modeling Surfaces with Reflectance and Geometry
Hybrid Textons: Modeling Surfaces with Reflectance and Geometry Jing Wang and Kristin J. Dana Electrical and Computer Engineering Department Rutgers University Piscataway, NJ, USA {jingwang,kdana}@caip.rutgers.edu
More informationTHE FUTURE OF MATERIAL COMMUNICATION VIA THE APPEARANCE EXCHANGE FORMAT AXF
THE FUTURE OF MATERIAL COMMUNICATION VIA THE APPEARANCE EXCHANGE FORMAT AXF Dr. Marc Ellens EI 2017: MATERIAL APPEARANCE APPEARANCE DISCUSSION ACQUISITION DEVICE AXF FORMAT ROADMAP VISION WHAT IS THIS
More informationVisual 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 informationImage-Based Modeling and Rendering
Traditional Computer Graphics Image-Based Modeling and Rendering Thomas Funkhouser Princeton University COS 426 Guest Lecture Spring 2003 How would you model and render this scene? (Jensen) How about this
More informationImage Based Lighting with Near Light Sources
Image Based Lighting with Near Light Sources Shiho Furuya, Takayuki Itoh Graduate School of Humanitics and Sciences, Ochanomizu University E-mail: {shiho, itot}@itolab.is.ocha.ac.jp Abstract Recent some
More informationImage Based Lighting with Near Light Sources
Image Based Lighting with Near Light Sources Shiho Furuya, Takayuki Itoh Graduate School of Humanitics and Sciences, Ochanomizu University E-mail: {shiho, itot}@itolab.is.ocha.ac.jp Abstract Recent some
More information3D Editing System for Captured Real Scenes
3D Editing System for Captured Real Scenes Inwoo Ha, Yong Beom Lee and James D.K. Kim Samsung Advanced Institute of Technology, Youngin, South Korea E-mail: {iw.ha, leey, jamesdk.kim}@samsung.com Tel:
More informationTopic 12: Texture Mapping. Motivation Sources of texture Texture coordinates Bump mapping, mip-mapping & env mapping
Topic 12: Texture Mapping Motivation Sources of texture Texture coordinates Bump mapping, mip-mapping & env mapping Texture sources: Photographs Texture sources: Procedural Texture sources: Solid textures
More informationTopic 11: Texture Mapping 11/13/2017. Texture sources: Solid textures. Texture sources: Synthesized
Topic 11: Texture Mapping Motivation Sources of texture Texture coordinates Bump mapping, mip mapping & env mapping Texture sources: Photographs Texture sources: Procedural Texture sources: Solid textures
More informationTraditional Image Generation. Reflectance Fields. The Light Field. The Light Field. The Light Field. The Light Field
Traditional Image Generation Course 10 Realistic Materials in Computer Graphics Surfaces + BRDFs Reflectance Fields USC Institute for Creative Technologies Volumetric scattering, density fields, phase
More informationTopic 11: Texture Mapping 10/21/2015. Photographs. Solid textures. Procedural
Topic 11: Texture Mapping Motivation Sources of texture Texture coordinates Bump mapping, mip mapping & env mapping Topic 11: Photographs Texture Mapping Motivation Sources of texture Texture coordinates
More informationInteractive Vizualisation of Complex Real-World Light Sources
Interactive Vizualisation of Complex Real-World Light Sources Xavier Granier(1-2) Michael Goesele(3) (2) (3) Wolgang Heidrich Hans-Peter Seidel (1) (2) (3) IPARLA/INRIA LaBRI (Bordeaux) University of British
More informationImage-Based Rendering
Image-Based Rendering COS 526, Fall 2016 Thomas Funkhouser Acknowledgments: Dan Aliaga, Marc Levoy, Szymon Rusinkiewicz What is Image-Based Rendering? Definition 1: the use of photographic imagery to overcome
More informationImage-based modeling (IBM) and image-based rendering (IBR)
Image-based modeling (IBM) and image-based rendering (IBR) CS 248 - Introduction to Computer Graphics Autumn quarter, 2005 Slides for December 8 lecture The graphics pipeline modeling animation rendering
More informationRendering Light Reflection Models
Rendering Light Reflection Models Visual Imaging in the Electronic Age Donald P. Greenberg October 27, 2015 Lecture #18 Goal of Realistic Imaging The resulting images should be physically accurate and
More informationProject Periodic Report Summary
Project Periodic Report Summary Month 12 Date: 24.7.2014 Grant Agreement number: EU 323567 Project acronym: HARVEST4D Project title: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds TABLE OF CONTENTS
More informationView-Dependent Texture Mapping
81 Chapter 6 View-Dependent Texture Mapping 6.1 Motivation Once a model of an architectural scene is recovered, the goal is to produce photorealistic renderings. A traditional approach that is consistent
More informationGPU-Accelerated Deep Shadow Maps
GPU-Accelerated Deep Shadow Maps for Direct Volume Rendering Markus Hadwiger, Andrea Kratz, Christian Sigg*, Katja Bühler VRVis Research Center, Vienna *ETH Zurich Andrea Kratz Motivation High-quality
More informationLight-Dependent Texture Mapping
Light-Dependent Texture Mapping Dan Gelb, Tom Malzbender, Kevin Wu Client and Media Systems Laboratory HP Laboratories Palo Alto HPL-98-131 (R.1) April 26 th, 2001* E-mail: malzbend@hpl.hp.com texture
More informationRendering Synthetic Objects into Real Scenes. based on [Debevec98]
Rendering Synthetic Objects into Real Scenes based on [Debevec98] Compositing of synthetic objects Geometry consistency needed: geometric model of synthetic objects needed: (coarse) geometric model of
More informationPoint based global illumination is now a standard tool for film quality renderers. Since it started out as a real time technique it is only natural
1 Point based global illumination is now a standard tool for film quality renderers. Since it started out as a real time technique it is only natural to consider using it in video games too. 2 I hope that
More informationLight Transport CS434. Daniel G. Aliaga Department of Computer Science Purdue University
Light Transport CS434 Daniel G. Aliaga Department of Computer Science Purdue University Topics Local and Global Illumination Models Helmholtz Reciprocity Dual Photography/Light Transport (in Real-World)
More information782 Schedule & Notes
782 Schedule & Notes Tentative schedule - subject to change at a moment s notice. This is only a guide and not meant to be a strict schedule of how fast the material will be taught. The order of material
More informationLight Reflection Models
Light Reflection Models Visual Imaging in the Electronic Age Donald P. Greenberg October 21, 2014 Lecture #15 Goal of Realistic Imaging From Strobel, Photographic Materials and Processes Focal Press, 186.
More informationTutorial Notes for the DAGM 2001 A Framework for the Acquisition, Processing and Interactive Display of High Quality 3D Models
χfiχfi k INFORMATIK Tutorial Notes for the DAGM 2001 A Framework for the Acquisition, Processing and Interactive Display of High Quality 3D Models Research Report MPI-I-2001-4-005 September 2001 Hendrik
More informationThe 7d plenoptic function, indexing all light.
Previous Lecture The 7d plenoptic function, indexing all light. Lightfields: a 4d (not 5d!) data structure which captures all outgoing light from a region and permits reconstruction of arbitrary synthetic
More informationMultiplexed Acquisition of Bidirectional Texture Functions for Materials
Best Student Paper Award Multiplexed Acquisition of Bidirectional Texture Functions for Materials Dennis den Brok, Heinz C. Steinhausen, Matthias B. Hullin and Reinhard Klein Institut für Informatik II,
More informationBTF Compression via Sparse Tensor Decomposition
Eurographics Symposium on Rendering 2009 Hendrik P. A. Lensch and Peter-Pike Sloan (Guest Editors) Volume 28 (2009), Number 4 BTF Compression via Sparse Tensor Decomposition Roland Ruiters and Reinhard
More informationSupport for external aerotriangulation results from professional systems (Inpho, Bingo).
PhotoMesh v7.2 PhotoMesh v7.2 fully automates the generation of high-resolution, textured, 3D mesh models from standard 2D photographs, offering a significant reduction in cost and time compared to traditional
More informationCPSC 314 LIGHTING AND SHADING
CPSC 314 LIGHTING AND SHADING UGRAD.CS.UBC.CA/~CS314 slide credits: Mikhail Bessmeltsev et al 1 THE RENDERING PIPELINE Vertices and attributes Vertex Shader Modelview transform Per-vertex attributes Vertex
More informationReal-Time Non- Photorealistic Rendering
Real-Time Non- Photorealistic Rendering Presented by: Qing Hu LIAO SOCS, McGill Feb 1, 2005 Index Introduction Motivation Appel s Algorithm Improving Schema Rendering Result Economy of line A great deal
More informationRe-rendering from a Dense/Sparse Set of Images
Re-rendering from a Dense/Sparse Set of Images Ko Nishino Institute of Industrial Science The Univ. of Tokyo (Japan Science and Technology) kon@cvl.iis.u-tokyo.ac.jp Virtual/Augmented/Mixed Reality Three
More informationRendering 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 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 informationImage Synthesis. Global Illumination. Why Global Illumination? Achieve more photorealistic images
Part I - Photorealism 1 Why? Achieve more photorealistic images All images are from MentalRay s website 2 Computer Science Dept. Technion Page 1 3 4 Computer Science Dept. Technion Page 2 5 From Alexander
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 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 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 information3D Modeling of Objects Using Laser Scanning
1 3D Modeling of Objects Using Laser Scanning D. Jaya Deepu, LPU University, Punjab, India Email: Jaideepudadi@gmail.com Abstract: In the last few decades, constructing accurate three-dimensional models
More informationDesigning a Self-Calibrating Pipeline for Projection Mapping Application. Kevin Wright Kevin Moule
Designing a Self-Calibrating Pipeline for Projection Mapping Application Kevin Wright Kevin Moule 2 Who we are Kevin Wright Director of the Application Software group at Christie responsible for developing
More informationMany rendering scenarios, such as battle scenes or urban environments, require rendering of large numbers of autonomous characters.
1 2 Many rendering scenarios, such as battle scenes or urban environments, require rendering of large numbers of autonomous characters. Crowd rendering in large environments presents a number of challenges,
More informationTexture. Texture Maps
Texture Texture maps! Surface color and transparency! Environment and irradiance maps! Reflectance maps! Shadow maps! Displacement and bump maps Level of detail hierarchy Procedural shading and texturing
More informationIMAGE BASED RENDERING: Using High Dynamic Range Photographs to Light Architectural Scenes
IMAGE BASED RENDERING 1 IMAGE BASED RENDERING: Using High Dynamic Range Photographs to Light Architectural Scenes KATHLEEN CHENEY MEHLIKA INANICI University of Washington Abstract Image Based Rendering
More informationRasterization Overview
Rendering Overview The process of generating an image given a virtual camera objects light sources Various techniques rasterization (topic of this course) raytracing (topic of the course Advanced Computer
More informationLocal Illumination. CMPT 361 Introduction to Computer Graphics Torsten Möller. Machiraju/Zhang/Möller
Local Illumination CMPT 361 Introduction to Computer Graphics Torsten Möller Graphics Pipeline Hardware Modelling Transform Visibility Illumination + Shading Perception, Interaction Color Texture/ Realism
More informationPhotorealistic Augmented Reality
EUROGRAPHICS 2003 Tutorial Photorealistic Augmented Reality Simon Gibson 1, Alan Chalmers 2 1 Advanced Interfaces Group, University of Manchester, UK, 2 Department of Computer Science, University of Bristol,
More informationLighting 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 informationChapter 1 Introduction
Chapter 1 Introduction The central problem in computer graphics is creating, or rendering, realistic computergenerated images that are indistinguishable from real photographs, a goal referred to as photorealism.
More information3D data merging using Holoimage
Iowa State University From the SelectedWorks of Song Zhang September, 27 3D data merging using Holoimage Song Zhang, Harvard University Shing-Tung Yau, Harvard University Available at: https://works.bepress.com/song_zhang/34/
More informationMultimedia Technology CHAPTER 4. Video and Animation
CHAPTER 4 Video and Animation - Both video and animation give us a sense of motion. They exploit some properties of human eye s ability of viewing pictures. - Motion video is the element of multimedia
More informationGRAPHICS TOOLS FOR THE GENERATION OF LARGE SCALE URBAN SCENES
GRAPHICS TOOLS FOR THE GENERATION OF LARGE SCALE URBAN SCENES Norbert Haala, Martin Kada, Susanne Becker, Jan Böhm, Yahya Alshawabkeh University of Stuttgart, Institute for Photogrammetry, Germany Forename.Lastname@ifp.uni-stuttgart.de
More informationCorona Sky Corona Sun Corona Light Create Camera About
Plugin menu Corona Sky creates Sky object with attached Corona Sky tag Corona Sun creates Corona Sun object Corona Light creates Corona Light object Create Camera creates Camera with attached Corona Camera
More informationHybrid Rendering for Collaborative, Immersive Virtual Environments
Hybrid Rendering for Collaborative, Immersive Virtual Environments Stephan Würmlin wuermlin@inf.ethz.ch Outline! Rendering techniques GBR, IBR and HR! From images to models! Novel view generation! Putting
More informationReflection 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 informationMore computational light transport
More computational light transport http://graphics.cs.cmu.edu/courses/15-463 15-463, 15-663, 15-862 Computational Photography Fall 2017, Lecture 23 Course announcements Sign-up for final project checkpoint
More informationBRDF 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 informationComplex Shading Algorithms
Complex Shading Algorithms CPSC 414 Overview So far Rendering Pipeline including recent developments Today Shading algorithms based on the Rendering Pipeline Arbitrary reflection models (BRDFs) Bump mapping
More informationReal-time BTF Rendering
Real-time BTF Rendering Martin Schneider Institute of Computer Science II. University of Bonn Römerstr. 164, D-53177 Bonn, Germany Abstract The Bidirectional Texture Function (BTF) is a suitable representation
More informationTexture. Texture Mapping. Texture Mapping. CS 475 / CS 675 Computer Graphics. Lecture 11 : Texture
Texture CS 475 / CS 675 Computer Graphics Add surface detail Paste a photograph over a surface to provide detail. Texture can change surface colour or modulate surface colour. Lecture 11 : Texture http://en.wikipedia.org/wiki/uv_mapping
More informationCS 475 / CS 675 Computer Graphics. Lecture 11 : Texture
CS 475 / CS 675 Computer Graphics Lecture 11 : Texture Texture Add surface detail Paste a photograph over a surface to provide detail. Texture can change surface colour or modulate surface colour. http://en.wikipedia.org/wiki/uv_mapping
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 informationDigitization of 3D Objects for Virtual Museum
Digitization of 3D Objects for Virtual Museum Yi-Ping Hung 1, 2 and Chu-Song Chen 2 1 Department of Computer Science and Information Engineering National Taiwan University, Taipei, Taiwan 2 Institute of
More informationEstimating the surface normal of artwork using a DLP projector
Estimating the surface normal of artwork using a DLP projector KOICHI TAKASE 1 AND ROY S. BERNS 2 1 TOPPAN Printing co., ltd. 2 Munsell Color Science Laboratory, Rochester Institute of Technology Summary:
More information16. Holography. Dennis Gabor (1947) Nobel Prize in Physics (1971)
16. Holography Dennis Gabor (1947) Nobel Prize in Physics (1971) Photography Records intensity distribution of light. Does not record direction. Two-dimensional image. Holography = whole + writing Records
More informationFaces and Image-Based Lighting
Announcements Faces and Image-Based Lighting Project #3 artifacts voting Final project: Demo on 6/25 (Wednesday) 13:30pm in this room Reports and videos due on 6/26 (Thursday) 11:59pm Digital Visual Effects,
More informationPHYSICALLY BASED RENDERING FOR 3DSMAX LIGHTWORKS IRAY + FOR 3DSMAX CASSIE THIBODEAU - NVIDIA PETER DE LAPPE NVIDIA DAVID COLDRON - LIGHTWORKS
Webinar: Photorealistic visualization with Speed and Ease Using Iray+ for Autodesk 3ds Max PHYSICALLY BASED RENDERING FOR 3DSMAX LIGHTWORKS IRAY + FOR 3DSMAX CASSIE THIBODEAU - NVIDIA PETER DE LAPPE NVIDIA
More informationGraphics and Interaction Rendering pipeline & object modelling
433-324 Graphics and Interaction Rendering pipeline & object modelling Department of Computer Science and Software Engineering The Lecture outline Introduction to Modelling Polygonal geometry The rendering
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 informationModels and Architectures. Ed Angel Professor of Computer Science, Electrical and Computer Engineering, and Media Arts University of New Mexico
Models and Architectures Ed Angel Professor of Computer Science, Electrical and Computer Engineering, and Media Arts University of New Mexico 1 Objectives Learn the basic design of a graphics system Introduce
More informationAnnouncements. Light. Properties of light. Light. Project status reports on Wednesday. Readings. Today. Readings Szeliski, 2.2, 2.3.
Announcements Project status reports on Wednesday prepare 5 minute ppt presentation should contain: problem statement (1 slide) description of approach (1 slide) some images (1 slide) current status +
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 informationDetermining Reflectance Parameters and Illumination Distribution from a Sparse Set of Images for View-dependent Image Synthesis
Determining Reflectance Parameters and Illumination Distribution from a Sparse Set of Images for View-dependent Image Synthesis Ko Nishino, Zhengyou Zhang and Katsushi Ikeuchi Dept. of Info. Science, Grad.
More informationOnline Interactive 4D Character Animation
Online Interactive 4D Character Animation Marco Volino, Peng Huang and Adrian Hilton Web3D 2015 Outline 4D Performance Capture - 3D Reconstruction, Alignment, Texture Maps Animation - Parametric Motion
More informationComputer Graphics 1. Chapter 7 (June 17th, 2010, 2-4pm): Shading and rendering. LMU München Medieninformatik Andreas Butz Computergraphik 1 SS2010
Computer Graphics 1 Chapter 7 (June 17th, 2010, 2-4pm): Shading and rendering 1 The 3D rendering pipeline (our version for this class) 3D models in model coordinates 3D models in world coordinates 2D Polygons
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 informationIntroduction to Computer Graphics with WebGL
Introduction to Computer Graphics with WebGL Ed Angel Professor Emeritus of Computer Science Founding Director, Arts, Research, Technology and Science Laboratory University of New Mexico Models and Architectures
More informationDynamic Ambient Occlusion and Indirect Lighting. Michael Bunnell NVIDIA Corporation
Dynamic Ambient Occlusion and Indirect Lighting Michael Bunnell NVIDIA Corporation Environment Lighting Environment Map + Ambient Occlusion + Indirect Lighting New Radiance Transfer Algorithm Useful for
More informationPhotorealism vs. Non-Photorealism in Computer Graphics
The Art and Science of Depiction Photorealism vs. Non-Photorealism in Computer Graphics Fredo Durand MIT- Lab for Computer Science Global illumination How to take into account all light inter-reflections
More informationrendering 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 informationBi-Scale Radiance Transfer
Siggraph 2003 paper: papers_0260, page 1 of 6 Bi-Scale Radiance Transfer Peter-Pike Sloan Xinguo Liu Heung-Yeung Shum John Snyder Microsoft Corporation Microsoft Research Asia Microsoft Research Asia Microsoft
More informationLecturer Athanasios Nikolaidis
Lecturer Athanasios Nikolaidis Computer Graphics: Graphics primitives 2D viewing and clipping 2D and 3D transformations Curves and surfaces Rendering and ray tracing Illumination models Shading models
More informationA reflectometer setup for spectral BTF measurement
A reflectometer setup for spectral BTF measurement Daniel Lyssi Institute of Computer Science II, University of Bonn, Germany Abstract In computer graphics, information about a material s reflectance properties
More informationMultiple Importance Sampling
Multiple Importance Sampling Multiple Importance Sampling Reflection of a circular light source by a rough surface Radius Shininess Sampling the light source f()() xgxdx Sampling the BRDF Page 1 Multiple
More informationModels and Architectures
Models and Architectures Objectives Learn the basic design of a graphics system Introduce graphics pipeline architecture Examine software components for an interactive graphics system 1 Image Formation
More informationMulti-View 3D Reconstruction of Highly-Specular Objects
Multi-View 3D Reconstruction of Highly-Specular Objects Master Thesis Author: Aljoša Ošep Mentor: Michael Weinmann Motivation Goal: faithful reconstruction of full 3D shape of an object Current techniques:
More informationMulti-View 3D-Reconstruction
Multi-View 3D-Reconstruction Slobodan Ilic Computer Aided Medical Procedures (CAMP) Technische Universität München, Germany 1 3D Models Digital copy of real object Allows us to - Inspect details of object
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 informationMotionCam-3D. The highest resolution and highest accuracy area based 3D camera in the world. Jan Zizka, CEO AWARD 2018
MotionCam-3D AWARD 2018 The highest resolution and highest accuracy area based 3D camera in the world Jan Zizka, CEO 3D Scanning Scanning of static scenes 3D Scanners Scanning in motion 3D Cameras Ensenso
More informationLecture 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 informationImage Based Rendering
Image Based Rendering an overview Photographs We have tools that acquire and tools that display photographs at a convincing quality level 2 1 3 4 2 5 6 3 7 8 4 9 10 5 Photographs We have tools that acquire
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 informationAlgorithms for Image-Based Rendering with an Application to Driving Simulation
Algorithms for Image-Based Rendering with an Application to Driving Simulation George Drettakis GRAPHDECO/Inria Sophia Antipolis, Université Côte d Azur http://team.inria.fr/graphdeco Graphics for Driving
More informationCSCI 4972/6963 Advanced Computer Graphics Quiz 2 Tuesday April 17, 2007 noon-1:30pm
CSCI 4972/6963 Advanced Computer Graphics Quiz 2 Tuesday April 17, 2007 noon-1:30pm Name: RCS username: This quiz is closed book & closed notes except for one 8.5x11 (double-sided) sheet of notes. Please
More informationSmooth shading of specular surfac Title ased high-definition CGH Author(s) MATSUSHIMA, Kyoji 2011 3DTV Conference: The True Vi Citation, Transmission and Display of 3D ) Issue Date 2011 URL http://hdl.handle.net/10112/5575
More informationCSE528 Computer Graphics: Theory, Algorithms, and Applications
CSE528 Computer Graphics: Theory, Algorithms, and Applications Hong Qin State University of New York at Stony Brook (Stony Brook University) Stony Brook, New York 11794--4400 Tel: (631)632-8450; Fax: (631)632-8334
More informationAcquisition and Visualization of Colored 3D Objects
Acquisition and Visualization of Colored 3D Objects Kari Pulli Stanford University Stanford, CA, U.S.A kapu@cs.stanford.edu Habib Abi-Rached, Tom Duchamp, Linda G. Shapiro and Werner Stuetzle University
More informationStructured light 3D reconstruction
Structured light 3D reconstruction Reconstruction pipeline and industrial applications rodola@dsi.unive.it 11/05/2010 3D Reconstruction 3D reconstruction is the process of capturing the shape and appearance
More information