Full text: XVIIIth Congress (Part B5)

cal positioning 
ciple based on 
ons for active 
ation for every 
sequences ac- 
nd retro-target 
  
targets 
on, based on 
rgets. 
d for the “free- 
ware functions. 
e reduced to a 
meras and pro- 
st setups of a 
tory: a tripod 
cameras and a 
n the fields of 
evaluation and 
s of a 
oratory. 
96 
  
  
  
8.5 Applications and Results 
For a measurement example an aluminum part with 
specular surface was used (Figure 26). This part was 
developed for testing purposes and has been measured 
and reproduced by rapid prototyping from several institu- 
tions [IMS94]. 
  
Figure 26 : IMS test-part, made of aluminum. 
Figure 27 shows measured data from twelve different 
views which were acquired to obtain one point cloud that 
was suitable for model reconstruction (Figure 28). The 
rms-noise was below 50 microns, which is approximately 
0.025 % of the field of view. 
  
  
calibration 
orientation 
transformation 
"superposition of | 
12 point clouds |; 
  
  
e 1 ha 
[=] 
Figure 27: Measurement of IMS test part (single point 
cloud and superposition of twelve point clouds). 
345 
  
Figure 28: CAD model based on point cloud. 
4. CONCLUSIONS 
There are many existing and new application areas for 
“mechanic-free“ self calibrating, autonomously navigating 
optical measurement systems: 
e fast digitization of hand-made models, 
e. measurement and documentation of tools, 
e on-line production control (automotive parts), 
e geometric control of turbine blades and wings, 
e flexible programmable checking fixtures, 
e collision control (e.g. for mobile robots). 
Several sensor principles have to be combined to build 
"free-flying" sensors for 3-D surface measurement. As an 
example, a new sensor system has been shown which 
integrates active optical and photogrammetric tech- 
niques. It can produce 3-D coordinates for each camera 
pixel (which can be 1 million or more in a few minutes). A 
self-calibration principle with a simple hand-positioned 
calibration plate is used for the camera/projector com- 
bination. In this system a new orientation principle based 
on 2-D and 3-D data is used for point-cloud registration 
from several views. The registrated point clouds can be 
sent to a CAD system for further 3-D processing. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996 
 
	        
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