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Title: PowerPoint Presentation Author: Edward Adelson Last modified by: Edward Adelson Created Date: 5/21/2005 5:04:10 PM Document presentation format – PowerPoint PPT presentation

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Title: Edward (


1
Edward (Ted) Adelson
  • Professor of Vision Science in MIT Dept. of
    Brain and Cognitive Sciences member of CSAIL.
  • B.A. Physics and Philosophy (Yale) Ph. D.
    Experimental Psychology (Univ. Mich.) postdoc
    at NYU on motion perception.
  • RCA Sarnoff Labs 1981-86 MIT Media Lab 1987-
    95
  • Interests human vision, machine vision, image
    processing, computer graphics... anything
    involving images!
  • Current interest snapshots!

2
Where am I coming from?
Multiscale image coding, denoising, merging,
inpainting (with Burt and others, 1980s).
Gaussian/Laplacian Pyramid (with Burt 1981,
1983)
Steerable Filters (with Freeman 1991)
3
Plenoptic function (with Bergen 1991)
Layered motion analysis (with Wang, 1992)
Plenoptic Camera (with Wang, 1994)
4
Imaging gather evidence, then render image.
  • Traditional photography Gathering evidence
    light hits film in camera. Rendering develop
    print.
  • Examples with less direct route tomography,
    coded aperture imaging, range sensing.
  • But even for snapshots we can gather evidence
    across space and time.

5
Using evidence gathered over time.
Original image of Sarah. Cute face, but bad
lighting.
Do we have prior evidence of what she looks like
under different lighting?
Dig through dozens of photos...
From a video
From cell phone pic.
Extract low freqs, add to luminance component.
Improved lighting
6
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7
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8
My camera should learn about my friends and
family.
Instead of solving general problem of analyzing
and rendering faces, just learn a lot about
Sarahs face. Even without fancy models just use
lots of 2-D examples of different lighting, pose,
expression. My camera has much experience
looking at my friends and family. It should use
it to infer better pictures.
9
Gathering evidence across space
plenoptic/lightfield imaging.
  • Snapshots again how to get multiple views of a
    wedding or birthday party?
  • Fill room with cameras, all communicating
    wirelessly.
  • But how?

10
Name tag cams?
Balloon cams?
Somehow... get lots of cameras out there. Then
use IBR to move viewpoint around, get good shots.
Party hats cams?
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