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Title: Computer%20vision%20class,%20%20fast-forward


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http//www.ai.mit.edu/courses/6.801/
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Vision
  • What does it mean, to see? to know what is
    where by looking.
  • How to discover from images what is present in
    the world, where things are, what actions are
    taking place.

from Marr, 1982
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Computer vision class, fast-forward
10
Images and image formation
11
Cameras, lenses, and sensors
  • Pinhole cameras
  • Lenses
  • Projection models
  • Geometric camera parameters

From Computer Vision, Forsyth and Ponce,
Prentice-Hall, 2002.
12
Radiometry
Wolfgang Lucht
http//geography.bu.edu/brdf/brdfexpl.html
13
Color
From Foundations of Vision, by Brian Wandell,
Sinauer Assoc., 1995
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Low-level vision
15
Image filtering
  • Review of linear systems, convolution
  • Bandpass filter-based image representations
  • Probabilistic models for images

Image
Oriented, multi-scale representation
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Non-linear filtering, and applications
17
Models of texture
18
Shape from shading
Shape from shading, Horn and Brooks, MIT Press,
1986
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Bayesian framework for vision
Gahan Wilsons Still Weird, Forge, 1994
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Bayesian framework for vision
Coincidental appearance of face profile in rock?
http//www.cs.dartmouth.edu/whites/old_man.html
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Bayesian framework for vision
Coincidental appearance of faces in rock?
http//bensguide.gpo.gov/3-5/symbols/print/mountru
shmore.html
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Edge detection and optical flow
M. Heath, S. Sarkar, T. Sanocki, and K.W. Bowyer,
"A Robust Visual Method for Assessing the
Relative Performance of Edge-Detection
Algorithms" IEEE Transactions on Pattern Analysis
and Machine Intelligence, Vol. 19, No. 12,
December 1997, pp. 1338-1359.
23
Edge detection and optical flow
True optical flow
Images
in "Statistical Theories of the Brain", edited
by R. Rao, B. Olshausen, and M. Lewicki, MIT
Press, 2001
Estimated optical flow
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Learning and vision
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Statistical classifiers
  • MIT Media Lab face localization results.
  • Applications database search, human machine
    interaction, video conferencing.

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Support vector machines and boosting
Large-margin classifier
www.support-vector.net/nello.html
27
Support vector machines and boosting
The kernel trick
www.support-vector.net/nello.html
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Applications
  • Computer vision for computer games

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Computer vision applicationsas ocean-going
vessels
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Game Decathlete
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Optical-flow-based Decathlete figure motion
analysis
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Decathlete 100m hurdles
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Decathlete javelin throw
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Decathlete javelin throw
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video
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Nintendo Game Boy Camera
  • Several million sold (most of any digital
    camera). Imaging chip is Mitsubishi Electrics
    Artificial Retina CMOS detector.

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video
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The course, in broad categories
  • Images and image formation
  • Geometry
  • Low-level vision
  • High-level vision
  • Implementations and applications
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