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 B5. Istanbul 2004 
quantity depends on the density of the points acquired with 
the laser scanner and on the image resolution in terms of dpi). 
In order to fill the distance matrix, it is necessary to integrate 
the missing values with an interpolation process. The 
"average weighed method" has been used. The four nearest 
pixels, of which the value of distance is known, are 
considered. The interpolation of the distance values is carried 
out using the formula: 
3 = d, 6, d, * d, 6, +d, à, 
nL) 
  
d +d, +d; +d, (3) 
Where i j= the indexes of the current pixel 
Ó,...47 the distances between the centre of the 
perspective and each of the 4 object points 
d, 47 the distances, on the image, between 
the i,j pixel and the pixels used for the 
interpolation. 
The same process is used for the interpolation of the 
reflectivity matrix A. 
1.5 Validation of the procedure 
A test area was used to calibrate and validate the proposed 
method. It has been built in the photogrammetry laboratory at 
the Politecnico di Torino. A total of 40 high reflectivity 
markers, whose positions were accurately determined using 
classical geodetic techniques, were realised in the laboratory. 
À laser scanning was carried out, using a RIEGL LMS-Z420 
laser scanner, whose accuracy is +5 mm for the 3 
coordinates. Simultaneously a series of digital images were 
acquired, with a Nikon D1X mounted with a 28 mm lens. 
After having carried out the survey, the orientation and 
calibration parameters of a digital image were calculated and 
a Solid Image of the same image was created. 
The image size is 1312 pixels in height and 2000 pixels in 
width, the resolution is 2100 dpi, corresponding to a pixel 
size of 12,1 uum. 
The obtained results are: 
Orientation parameters of the digital image 
  
da = -0.071 m w= -83.505 gon 
Yo = -0.038 m @= -298.742 gon 
du = 0253 : m k= 114.379 gon 
  
  
  
. Calibration parameters (see (3) and (4)) 
  
  
&o = -0.160 Mm 
No = 0.011 Mm 
c= 28.49 Mm 
k, = 170376 E-06 
il 
= 
3,98296 E-09 
=. 27/153 E-12 
? 
  
Fist analysis was performed to investigate the accuracy of the 
solid image. 
All the possible distances between the markers placed on the 
object were calculated and compared with those obtained 
from the Solid Image. 
The following results were obtained: 
Mean and maximum differences 
  
Minimum value -8 mm 
Maximum value 10 mm 
Mean value 12 mm 
  
  
  
2. SOFTWARE FOR THE CREATION AND MANAGEMENT OF A 
SOLID IMAGE 
2.1 The LSR 2004 software 
À specific software package (LSR 2004) has been developed 
by the authors in Visual Basic 6.0 to create and manage the 
Solid Image and some of its first applications, . 
LSR 2004 (Laser Scanner Registration 2004) is a software 
made up for terrestrial laser scanner data processing and the 
creation and management of the Solid Image. 
LSR 2004 allows: 
* dense point clouds and high resolution digital images to 
be imported and exported; 
e point clouds to be filtered to remove outliers and gross 
errors; 
e the position of the high reflectivity points (markers) 
placed on the acquired object to be determined 
automatically; 
e adjacent scans to be recorded and geo-referenced 
automatically using reference markers; 
*  triangulation to be carried out in the case of different 
scans; 
e images to be calibrated; 
e the Solid Image and its applications (3D colour model 
and artificial stereoscopic pair) to be created and 
managed; 
* direct measurements to be carried out on the Solid 
Image. 
LSR 2004 allows a Solid Image to be created through: 
* an automatic calibration procedure of the digital image 
e projection of the point cloud and 
» interpolation of the D and A matrices. 
It allows the operator to visualise the RGB image or each of 
the two D or A matrices, codified in colour scales. 
  
     
  
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Figure 4 The LSR 2004 software — Solid Image of the 
Tetrarchi statue in Venice 
The resulting Solid Image is a high-resolution digital image 
integrated with the 3D information of the photographed 
object. The spatial position of the image points in terms of 
X.Y,Z coordinates can be seen in real time. This is obtained 
by simply moving the PC cursor onto the Solid Image: the
	        
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