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Image Stacks

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... notes, one double-sided 'cheat-sheet' allowed ... image of the world ... And enter the real world! All rays are not equal. Suporn's. panorama ... – PowerPoint PPT presentation

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Title: Image Stacks


1
Image Stacks
  • 15-463 Rendering and Image Processing
  • Alexei Efros

2
Announcements
  • We are now done with the first part of the
    course, broadly defined as
  • SINGLE IMAGE STUFF
  • Now, we are ready to move on, but first
  • MID-TERM
  • Week from today Thursday, Oct 21, in class
  • Will take about an hour
  • Closed books, closed notes, one double-sided
    cheat-sheet allowed
  • Covers everything up to this point
  • Review on Tuesday (bring questions!)

3
The story so far
Figure by Leonard McMillan
  • So far, we dealt with but a little part of our
    Flenoptic Function
  • A pencil of rays through one point
  • At one instance in time
  • A 2D snapshot, an instantaneous image of the
    world
  • We have been frozen in space-time, with no way to
    get out
  • now we are reading to break out of 3D

4
Breaking out of 2D
  • now we are ready to break out of 2D

And enter the real world!
5
All rays are not equal
Suporns panorama
6
Recovering structure
  • Q What must we do to uncover the structure of
    the world?
  • A Move!
  • in space
  • and/or in time
  • Not 2D anymore!

7
Smoke (1996), the photo album scene
8
Moving in Time
  • Moving only in time, while not moving in space,
    has many advantages
  • No need to find correspondences
  • Can look at how each ray changes over time
  • In science, always good to change just one
    variable at a time
  • This approach has always interested artists (e.g.
    Monet)
  • Modern surveillance video camera is a great
    source of information
  • There are now many such WebCams now, some running
    for several years!

9
Image Stack
255
time
0
t
  • As can look at video data as a spatio-temporal
    volume
  • If camera is stationary, each line through time
    corresponds to a single ray in space
  • We can look at how each ray behaves
  • What are interesting things to ask?

10
Average Image
  • Compute the average value of each pixel
  • What will it do?
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