Full text: Proceedings, XXth congress (Part 5)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3 
2.2 The DLR camera Eye Scan 
The next section introduces the main features of the DLR line 
scan camera. 
SYSTEM FEATURES 
This camera Eye Scan (see Figure 7) is developed in a common 
project between an industrial company and the German 
Aerospace Center (DLR) for environmental documentation pur- 
poses. The camera consists of a rotating unit which rotates an 
integrated CCD line chip 360? to achieve a full view of the 
environment [Sch04]. By using three line chips with 10,000 ele- 
ments each a very high resolution can be achieved. Three lines 
(RGB) provide each 16 Bit information of the environment and 
guarantee a high dynamic range with monitoring. 
  
Figure 7: The figure shows the high resolution DLR line scan 
camera. 
The resulting images consist of a maximum of 10200 by 500000 
pixels each containing three 14bit RGB values. The image is 
stored by a specially developed frame grabber onto the hard 
disk of a computer. A typical scan (10000 x 30000) using a 
special optical lens system by 35mm optical focus length takes 
about 3 min (daylight) and up to 60 min (dark indoor illumi- 
nation), mainly depending on the ambient illumination 
conditions and the number of rows to be measured with the 
camera. 
SOFTWARE 
The software for the camera enables the user to adjust typical 
camera settings like e.g. the shutter speed. For improving the 
homogeneity of the colours for different illumination 
conditions, it is possible to choose shading correction tables 
(e.g. daylight or indoor illumination). The software also 
includes a package for the geometric calibration, which cnables 
a recalculation of the rawdata into a geometrically calibrated 
image. 
In the next paragraph it will be described how 2D RGB color 
information can be mapped onto a 3D laser point cloud. 
2.3 Combining camera and laser scanner data 
In the photogrammetric field, a couple of techniques are known 
to map RGB data onto range data: Assuming that the distortion 
of both systems is already recalibrated geometrically. the overall 
mapping formula must in some way contain a translation (3 
unknowns). rotation (3 unknowns) and perspective projection: 
In the following it will be shown how this 6-dimensional 
parameter space can be reduced to one parameter for the given 
set-up. 
       
   
   
    
   
   
   
   
    
   
   
  
  
   
   
    
    
   
   
   
      
    
     
    
    
   
   
    
    
  
   
  
   
   
  
  
   
    
   
  
  
  
   
   
   
  
. Istanbul 2004 
SETUP 
The scanner and camera acquisitions are. performed one after 
the other: After finishing a scan with the IMAGER 5003, the 
DLR Eye Scan camera is set onto the same tripod. by fixing an 
adapter onto it (see Figure 8). This adapter ensures that the 
location of the optical centre of the camera is (nearly) identical 
with the one of the scanner unit, as well as both horizontal 
rotation axis are. Thus the only unknown parameter, which must 
be calculated to transform both co-ordinate systems into each 
other, is the horizontal angle. 
  
Figure 8: The figure shows the basic principle of the data 
acquisition (see text). 
3. APPLICATIONS 
ARCHITECTURE AND HERITAGE 
For a lot of applications in the field of architecture and cultural 
heritage not only geometry is enough but also reflectance and if 
possible colour information is necessary to fulfil requirements 
of architects. 
The following chapter presents examples using both systems: 
3.1 Castle Neuschwanstein 
In this example the results of a project between Z+F and the 
DLR are presented. The task was to scan and survey the inside 
of the drawnhall and create a 3D colour model. 
  
shows the drawnhall of castle 
Figure 9: The figure 
Neuschwanstein: The reflectance image of the 
Imager is overlapped with the corresponding RGB 
colour information of the Eye Scan camera. 
  
	        
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