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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B5. Istanbul 2004
x xk
y |2R yl (2)
= fl
xt x2
y'|=R1y2 (3)
z" z2
Where:
x ly l,xX2,y2 are image coordinate of corresponding points,
bx, by and bz are parallax parameters, and
R, R' are the rotation matrices.
Only six or more corresponding image points are needed for
solving theses parameters. By exerting these parameters on each
image, geometry correction is done. Linear method is used for
radiometric correction which produces radiometric correction.
3. RESULTS
To obtain required images, two images have been taken by
"Olympus C-740" a digital camera with 50 mm focal length
from a mini mouse in a normal photography network. Accuracy
of results is proved with line to line comparison of result
images.
Figures 2 and 3 show original and epipolar images from left
and right sides of the mini mouse respectively.
Figure3. Left and right epipolar images.
4. ANALYSIS
Results have shown that all lines are elongated with each other.
In this method, only two simple matrices (equation 1, 2) should
be calculated that is to prevent heavy calculations on each pixel.
Therefore, the speed of this method is high and by combining
two other methods, we can have higher speed. Relative
distances, 3D reconstruction and depth of points (distance
between each object point to digital camera in the exposure
time) are obtainable by matching all image points.
5. CONCLUSION
Results of these methods have shown that without control points
and hardware facilities, epipolar image can be produced. Then
this method has a lot of applications in many fields (such as in
mine, robotic or medical fields) especially in lack of control
points or hardware facilities.
6. REFERENCES
Marr D. and Poggio T. 1976.: Cooperative computation of
stereo disparity. Science, 194:283—287.
Schenk T., Li J.C., Toth C., 1991: Towards an autonomous
system for orienting digital stereo pairs, PE&RS (57) 8, 1057-
1064.