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Bridging the Gap to the Real. Wojciech Matusik Adobe Systems, Inc. Computer Graphics: Past, Present, Future. Goal of this Talk Look at Trends Extrapolate New Challenges Disclaimer: My personal (very biased) view - PowerPoint PPT Presentation
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Bridging the Gap to the Real
Wojciech MatusikAdobe Systems, Inc.
Computer Graphics: Past, Present, Future
• Goal of this Talk– Look at Trends– Extrapolate– New Challenges
Disclaimer: My personal (very biased) view I have not even taken a cg course.
TimeM
ilest
ones
TimeM
ilest
ones
Computer Graphics: Past, Present, Future
• Goal of this Talk– Look at Trends– Extrapolate– New Challenges
Disclaimer:I will present my own biased view.
A Simulation to Generate Images or Videos
Simulation
Lights
Shading
Motion
Geometry
Traditional Computer Graphics
Simulation
Lights
Shading
Motion
Geometry
• Components– Hand Modeled– Procedurally
Defined– Analytical
Formulas
Courtesy of Wikimedia
Traditional Computer Graphics: Geometry
Simulation
Lights
Shading
Motion
Geometry
axiom = Fproduction rule F -> FF-[-F+F+F]+[+F-F-F]
L-Systems
Fractals
Perlin Noise, Hypertextures
Courtesy of Wikimedia
Courtesy of Ken Perlin
Courtesy of Wikimedia
Traditional Computer Graphics: Lights
Simulation
Lights
Shading
Motion
Geometry
Directional
Point
Spot
Courtesy of Wikimedia
Traditional Computer Graphics: Shading
Simulation
Lights
Shading
Motion
Geometry
Cook’s Shade Trees
Phong
Blinn-Phong
Cook-Torrance
Courtesy of Rob Cook
Traditional Computer Graphics: Animation
Simulation
Lights
Shading
Motion
Geometry
Animation Controllers
Keyframing
Courtesy of Jessica Hodgins
Traditional Computer Graphics
Real WorldLights,
Geometry, Shading, Motion,
Simulations
Editing and User
Input
Computer Graphics
Data-driven Computer Graphics: 90s - now
Real WorldLights,
Geometry, Shading, Motion,
Simulations
Input Devices
• Progress in development of sensors• Cheap storage and computation power for data
processing
Data-driven Computer Graphics: Geometry
Simulation
Lights
Shading
Motion
Geometry
3D Scanning
Courtesy of Marc Levoy
Data-driven Computer Graphics: Lights
Simulation
Lights
Shading
Motion
Geometry
Environment MappingHDR Imaging
Courtesy of Paul DebevecCourtesy of Wikimedia
Data-driven Computer Graphics: Shading
Simulation
Lights
Shading
Motion
Geometry
Measured Appearance
Courtesy of Kristin DanaCourtesy of Wikimedia
Data-driven Computer Graphics: Animation
Simulation
Lights
Shading
Motion
Geometry
Motion Capture
Courtesy of Wikimedia
Data-driven Computer Graphics
Real WorldLights,
Geometry, Shading, Motion,
Simulations
Input Devices
Data-driven Modeling and Editing
Real WorldLights,
Geometry, Shading, Motion,
Simulations
Input Devices
Editing and User
Input
Data-driven Modeling and Editing: Geometry
Simulation
Lights
Shading
Motion
Geometry
Modeling by Example, 2004Funkhouser et al.
Data-driven Modeling and Editing: Lights
Simulation
Lights
Shading
Motion
Geometry
Skyfinder : Attribute-based Sky Image Search, 2009Tao et al.
Data-driven Modeling and Editing: Shading
Simulation
Lights
Shading
Motion
Geometry
Data-driven Reflectance Model, 2003Matusik et al.
Data-driven Modeling and Editing: Animation
Simulation
Lights
Shading
Motion
Geometry
Motion Graphs, 2002Kovar et al., Lee et al., Arikan & Forsyth
Data-driven Computer Graphics: 90s - now
Real WorldRepresentatio
ns AbstractionsSimulations
Input Devices
Editing and User
Input
Computer Graphics: Future
Real WorldRepresentatio
ns AbstractionsSimulations
Input Devices
Output Devices
Editing and User
Input
Shape Capture, Modeling, and Fabrication
Real Object 3D Model3D Scanning 3D Printing Output
User Edits
Courtesy of Wikimedia
Motion Capture, Modeling, and Robotics
Human Motion Motion ModelMocap ControllerDesign
HumanoidRobot
User Edits
Courtesy of WikimediaCourtesy of Wikimedia
Light Field Capture, Modeling, and Display
3D Scene Light FieldCameraArray
AutostereoscopicDisplay
Light Out
User Edits
Courtesy of M.Levoy
Courtesy of F. Durand
Appearance Capture, Modeling, and Fabrication
Real Material Data-drivenModel
Measurement Fabrication Output
User Edits
Challenges: Output Mapping
Data Abstraction
Device Capabilities Device
Capabilities
Data Abstraction
Output Mapping Examples– Gamut Mapping
– Tone Mapping
– Image Retargeting
Courtesy of Wikimedia
Courtesy of Shai Avidan
Courtesy of Wikimedia
• Different Phenomena– Reflectance, Scattering, Deformations, Motion
• Rules– Linear vs. Perceptually-Based– Global vs. Local
Generalized Output Mapping Algorithms
• Complex aggregates from base materials with known properties
Future Printers, Displays, and Output Devices
Future Output Devices
Future Printers, Displays, and Output Devices
Data-drivenRepresentatio
nsand
Abstractions
Output Mapping
Computer Graphics: Closing the Loop
Real WorldRepresentatio
ns AbstractionsSimulations
Input Devices
Output Devices
Editing and User
Input
My Vision Statement
The future of Computer Graphics and Interactive Techniques lies in novel input and output devices that operate in real-world environments and are accessible to everyone.
