Graphics research and courses at Stanford - PowerPoint PPT Presentation

About This Presentation
Title:

Graphics research and courses at Stanford

Description:

new computational algorithms for numerical simulation of physical phenomena ... This yields efficient algorithms for collision detection, visibility maintenance, ... – PowerPoint PPT presentation

Number of Views:58
Avg rating:3.0/5.0
Slides: 26
Provided by: marcl4
Category:

less

Transcript and Presenter's Notes

Title: Graphics research and courses at Stanford


1
Graphics research and courses at Stanford
http//graphics.stanford.edu
2
Graphicsfaculty
3
Relatedareas
4
Research projects
  • Digital Michelangelo project
  • Solving the Forma Urbis Romae
  • Visualizing cuneiform tablets
  • Modeling subsurface scattering
  • Multi-image digital photography
  • Measuring and modeling reflectance
  • Acquisition and display of light fields
  • Image-based modeling and rendering
  • Real-time volume rendering
  • Interactive workspaces
  • Parallel graphics architectures
  • Stanford immersive television project
  • Texture analysis-synthesis methods
  • Motion analysis / synthesis
  • Automatic illustration systems
  • Physics-based modeling and simulation
  • Visualization of computer systems
  • Real-time programmable shading

and many more
5
Digital Michelangelo project(Levoy)
  • very large geometric models
  • scientific tool for art historians
  • virtual museums, multimedia, replicas
  • lasting archive of important cultural artifacts

6
(No Transcript)
7
Davids left eye
8
Research challenges
  • vision problems
  • aligning and merging scans
  • automatic hole filling
  • inverse color rendering
  • automated view planning
  • digital archiving problems
  • making the data last forever
  • robust 3D digital watermarking
  • indexing and searching 3D data
  • real-time viewing on low-cost PCs

9
The Forma Urbis Romae(Levoy)
  • 60 x 45 x 4 marble map of ancient Rome, carved
    200 A.D.
  • shows the city at a scale where you can see every
    room
  • now in 1,163 fragments, an open problem for 500
    years

10
Solving the puzzle
  • algorithms must be fast
  • minimize false positives
  • robust to effects of weathering

11
Real-Time Programmable Shading(Hanrahan)
  • high-level languages for programmable graphics
    hardware
  • RenderMan in real-time
  • guide the future of graphics hardware
  • parallelizing scientific computations on the same
    hardware

12
Modeling subsurface scattering(Hanrahan, Levoy)
  • translucency is caused by multiple scattering
  • approximated by volumetric diffusion
  • validation using physical measurements

13
Stanford Immersive Television Project(Bregler,
Dally, Girod, Hanrahan, Horowitz, Levoy)
Intel DTV tuner card
  • light field cameras
  • real-time range scanning

14
Light field cameras(Horowitz, Levoy, Hanrahan)
video light field camera
spherical light field camera
15
Real-time range scanning
time
space
16
  • holes can be found and filled on-the-fly
  • object or scanner can be handheld / shoulderheld

video frame
range data
merged model(159 frames)
17
Motion analysis / synthesis(Bregler)
Acquisition Analysis Animation Kinematics Dynamic
s Language
?
18
Physics-based modeling and simulation(Fedkiw)
  • new computational algorithms for numerical
    simulation of physical phenomena

Water - simulated using the Navier Stokes
equations and the level set method for implicit
surface evolution. A solid invisible sphere
initiates the splashing.
19
Physics-based modeling and simulation(Fedkiw)
  • new computational algorithms for numerical
    simulation of physical phenomena

Smoke - simulated as a scalar in a flow field
generated using the Navier Stokes equations.
Photon mapping is used for the visualization.
20
Virtual Human(oid) Project (Fedkiw)
  • derive and improve physics-based models of
    tissues, organs, organ systems, clothing

21
Kinetic Data Structures(Guibas)
  • A kinetic data structure (KDS)maintains an
    attribute of interest in a collection of moving
    or deforming objects.
  • Examples include many kinds ofproximity,
    visibility, or connectivityinformation.
  • This yields efficient algorithms for collision
    detection, visibility maintenance, and
    aggregation orcommunication among mobile nodes.

22
Interactive workspaces (iRoom)(Winograd, Fox,
Hanrahan)
The ultra-high resolution Interactive Mural
integrates desktop access, sketching, 3D models,
and images under pen-based control
  • multiple display surfaces
  • multiple interaction devices
  • flexible display architecture
  • facilitates group work

23
Courses
  • CS 148 Introductory Computer Graphics
  • CS 248 Introduction to Computer Graphics
  • CS 348A Mathematical Foundations (modeling)
  • CS 348B Image Synthesis Techniques (rendering)
  • CS 348C Animation Techniques
  • CS 338 Level Set Methods
  • CS 368 Geometric algorithms (computational
    geometry)
  • CS 448 Topics in Computer Graphics
  • CS 468 Topics in Geometric Algorithms

24
Examples of topics
  • CS 448 - Topics in Computer Graphics
  • experiments in digital television
  • interactive workplaces
  • modeling appearance
  • This year
  • graphics architectures (Autumn, Hanrahan)
  • digital photography (Spring, Levoy)
  • CS 468 - Topics in Geometric Algorithms
  • matching techniques and similarity measures

25
PhD students
  • Maneesh Agrawala lt maneesh_at_pepper.stanford.edu gt
  • Sean Anderson lt seander_at_cs.stanford.edu gt
  • Robert Bosch lt bosch_at_cs.stanford.edu gt
  • Ian Buck lt ianbuck_at_graphics.stanford.edu gt
  • Cindy Chen lt xcchen_at_graphics.stanford.edu gt
  • Milton Chen lt miltchen_at_graphics.stanford.edu gt
  • Scott Cohen lt scohen_at_cs.stanford.edu gt
  • Joao Comba lt comba_at_cs.stanford.edu gt
  • James Davis lt jedavis_at_cs.stanford.edu gt
  • Matthew Eldridge lt eldridge_at_graphics.stanford.edu
    gt
  • Reid Gershbein lt rsg_at_uni.stanford.edu gt
  • Francois Guimbretiere lt francois_at_graphics.stanford
    .edu gt
  • Olaf Hall-Holt lt olaf_at_cs.stanford.edu gt
  • David Hoffman lt hoffman_at_cs.stanford.edu gt
  • Greg Humphreys lt humper_at_graphics.stanford.edu gt
  • Homan Igehy lt homan_at_graphics.stanford.edu gt
  • Brad Johanson lt bjohanso_at_stanford.edu gt
  • Menelaos Karavelas lt menelaos_at_graphics.stanford.ed
    u gt
  • Dave Koller lt dk_at_graphics.stanford.edu gt
  • Song Sam Liang lt sliang_at_graphics.stanford.edu gt
  • Tamara Munzner lt munzner_at_cs.stanford.edu gt
  • Bradley Nelson lt bdnelson_at_stanford.edu gt
  • John Owens lt jowens_at_graphics.stanford.edu gt
  • Lucas Pereira lt lucasp_at_graphics.stanford.edu gt
  • Matt Pharr lt mmp_at_lux.stanford.edu gt
  • Kekoa Proudfoot lt kekoa_at_graphics.stanford.edu gt
  • Katheline Pullen lt pullen_at_graphics.stanford.edu gt
  • Timothy Purcell lt tpurcell_at_graphics.stanford.edu
    gt
  • Ravi Ramamoorthi lt ravir_at_graphics.stanford.edu gt
  • Szymon Rusinkiewicz lt smr_at_graphics.stanford.edu gt
  • Gordon Stoll lt gws_at_aperture.stanford.edu gt
  • Chris Stolte lt cstolte_at_graphics.stanford.edu gt
  • Diane Tang lt dtang_at_cs.stanford.edu gt
  • Yelena Vileshina lt lena_at_graphics.stanford.edu gt
  • Li-Yi Wei lt liyiwei_at_graphics.stanford.edu gt

http//graphics.stanford.edu
Write a Comment
User Comments (0)
About PowerShow.com