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Stereo Ranging with verging Cameras

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Stereo Ranging with verging Cameras Based on the paper by E. Krotkov, K.Henriksen and R. Kories The system description Two cameras mounted on a platform can translate ... – PowerPoint PPT presentation

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Title: Stereo Ranging with verging Cameras


1
Stereo Ranging with verging Cameras
  • Based on the paper by E. Krotkov, K.Henriksen and
    R. Kories

2
The system description
  • Two cameras mounted on a platform can translate
    horizontally and vertically, and rotate
    left-right and up-down. Motors mounted on each
    lens adjust the focal length, focusing distance,
    and aperture diameter. Further, the two camera
    can verge by rotating towards each other
    (converging) or away form each other (diverging).
    The travel from minimum to maximum vergence angle
    is approximately 6degrees, covering 90,000motor
    steps. Potential advantage of vergence include
    increasing the field of view common to two
    cameras and constraining the stereo disparity.

3
Model
  • The lens is modeled as pinhole. The lens centers
    are separated by a baseline distance b, and both
    lenses have focal length f. Each camera is
    associated with a reference frame L and R with
    origins at the lens center and Z axes coincident
    with the optic axes positive in the direction fo
    the scene. We define a Cyclopean reference frame
    W with origin at the midpoint of the baseline,
    Z-axes normal to the base line and X axis
    coincident with the baseline.

4
Vergence mechanism
5
Reference Frames
6
The problem
7
Computing Range
8
Perspective transformation yields the image
coordinates
9
Derivation for Z
10
The distance
11
Relationship of parameters to observation
12
Indirect measurements
13
Getting f and baseline from measurements
14
Constrain on offset
15
Parameter identification
16
Parameter Identification
  • Second, we acquire disparity data from the scene
    viewed with different vergence angles. We servo
    the vergence motor to N different positions. At
    each we digitize a stereo pair of images and
    identify conjugate image points for each of the M
    objects. The outcome of this procedure is MxN
    conjugate points below and
  • the associate vergence motor positions V.

17
Parameter identification
  • Third we search for the least square values for
    baseline and the offset.

18
Experimental Results
19
Figure explanation
  • We identify conjugate image points for each of 7
    objects.
  • There were 9 vergence positions. For each
    vergence position 7 different distant places were
    measured.
  • The outcome is 7 x 9 conjugate points and
    associated vergence motor ositions.

20
Distance versus disparity
21
Vergence Changes Baseline Distance
22
This figure illustrates the case when the center
of rotation is not the same as the lens center
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