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CS 44957495 Computer Vision

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Cameras with Lenses. Next Week: Aaron Bobick. Cameras. First photograph due to Niepce. Basic abstraction is the pinhole camera. lenses required to ensure image is ... – PowerPoint PPT presentation

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Title: CS 44957495 Computer Vision


1
CS 4495/7495Computer Vision
  • Cameras, Geometric Cameras Models,
  • and Geometric Camera Calibration
  • Frank Dellaert
  • Some Slides by Forsyth Ponce, Jim Rehg

2
Outline
  • Pinhole Cameras
  • Cameras with Lenses
  • Next Week Aaron Bobick

3
Cameras
  • First photograph due to Niepce
  • Basic abstraction is the pinhole camera
  • lenses required to ensure image is not too dark
  • various other abstractions can be applied

4
Pinhole cameras
  • Abstract camera model - box with a small hole in
    it
  • Pinhole cameras work in practice

5
Distant objects are smaller
C
B
6
Parallel lines meet
7
Vanishing points
  • each set of parallel lines (direction) meets at
    a different point
  • The vanishing point for this direction
  • Sets of parallel lines on the same plane lead to
    collinear vanishing points.
  • The line is called the horizon for that plane
  • Good ways to spot faked images
  • scale and perspective dont work
  • vanishing points behave badly
  • supermarket tabloids are a great source.

8
(No Transcript)
9
The equation of projection
Weird and difficult diagram in the book
10
Pinhole Camera
  • The better way to do cameras

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P
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i
C
Q
f
q
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j
11
Geometric properties of projection
  • Points go to points
  • Lines go to lines
  • Planes go to whole image
  • Polygons go to polygons
  • Degenerate cases
  • line through focal point to point
  • plane through focal point to line

12
Weak perspective
  • perspective effects, but not over the scale of
    individual objects
  • collect points into a group at about the same
    depth, then divide each point by the depth of its
    group
  • easy
  • - wrong

13
Orthographic projection
14
  • Cameras with Lenses

15
Pinhole too big - many directions are
averaged, blurring the image Pinhole too
small- diffraction effects blur the
image Generally, pinhole cameras are dark,
because a very small set of rays from a
particular point hits the screen.
16
The reason for lenses
17
The thin lens
18
Focussing
http//www.theimagingsource.com
19
Spherical aberration
20
Vignetting
21
Other annoying phenomena
  • Chromatic aberration
  • Light at different wavelengths follows different
    paths hence, some wavelengths are defocussed
  • Machines coat the lens
  • Humans live with it
  • Geometric phenomena
  • Radial Distortion
  • Barrel distortion

22
Other stuff in Chapter 1
  • Background reading
  • Human eye
  • Sensing
  • CCD Cameras
  • Sensor Models
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