ding noise,
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ates were
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ues for the
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ate set was
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imately 300
‚on hour is
| know how
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stigation is
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i the frame
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. reference,
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3MS values
pixel when
ra
3.3 Warm Up Effect of Frame Grabber
Like every electronic device a frame grabber shows a
warm up effect. Eight images were acquired within 2%
hours. The camera was turned on several hours earlier.
The last image is used as a reference and systematic
shifts are excluded. Figure 3 shows that the warm up of
the frame grabber is not finished after 1% hours. The
RMS values are a factor 2 larger compared to the
warmed up system.
0,1
0
pond
$01
e
i
—@-— trend x [pixel]
-0,2 —— trend y [pixel]
—A— RMS x [pixel]
—3— RMS y [pixel]
-0,3
0 1000 2000 3000 4000 5000
time [seconds]
Figure 3: Warm up effect of frame grabber
3.4 Noise Analysis
To analyse the noise of the imaging system a set of five
images was acquired in video rate. The averaged image
was used as reference. The RMS of greyvalue
differences is less than one greyvalue. This result is
suprisingly good.
Figure 4: Noise of the imaging system
3.5 System Calibration
The system was calibrated using a small testfield of
150 x 150 mm size that shows 49 black targets on white
background. Image coordinates were measured using
LSTM. The average image scale was 1:20. A total of 8
Images was taken from 4 stations with a roll of 0 and 90
degrees. Every target was imaged in average in 6
Images. To compensate systematic errors a set of 10
additional parameters was used. Non significant and non
determinable parameters were excluded from the
estimation process (Gruen 1986). A RMS of image
coordinate residuals of 1/10th of a pixel was reached
009 to 20 microns in object space. (1 part in
249
4. IMAGE ACQUISITION
Due to many restrictions and constraints originating in
the nature of the project image acquisition is very
difficult. The problem can be divided into two parts: firstly
image acquisition itself. This means how to place the
cameras to be able to image teeth. Secondly the problem
of illumination. The teeth have to be illuminated in a way
that they can be measured by using their natural
structure.
In accordance to a method that has already been used by
orthodontists to acquire images for documentation
purposes a special mirror has been developed. This
mirror is placed between upper and lower jaw. The
cameras are placed in front of the mouth and acquire a
mirrored view of a the upper jaw or the lower jaw
respectively. They are approximately 250 mm in front of
the mirror an placed beside in a distance of 60 mm
corresponding to the base. At the mirrors backside 11
retroreflective control points are engraved in the mirroring
layer, so that they can be seen from the front. In addition
they are placed in a special arrangement that shall
minimize the overlay of control points and teeth in the
images. Since the control points are retroreflective they
are imaged as bright targets, the same way like strong
reflections. By eliminating the influence of strong
reflections on the measuring process the influence of
overlaying control points can be eliminated too.
The illumination system consists of two parts: red LEDs
that are fixed around the cameras lens and an additional
diffuse illumination of white light. The red LEDs are used
to illuminate the retrotargets fixed on the mirrors
backside. The teeth’s surface is illuminated by the diffuse
light.
camera
mirror
camera
mirror with teeth e 8 e e
control
points @ b
@
Y 260mm
o e
cameras
e @
60mm
Figure 6,7: Camera arrangement, Control points
5. DSM PROCESSING
For every tooth of a jaw a DSM (digital surface model) is
generated. The process can be divided into three steps.
Firstly all image points that belong to one single tooth
have to be defined, secondly the generation of the DSM
and thirdly postprocessing including detection of gross
errors and smoothing of the DSM.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996