International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W2, 2013 
XXIV International CIPA Symposium, 2 — 6 September 2013, Strasbourg, France 
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Figure 8. Point cloud indicated with yellow dots 
2.3 Modeling 
Building surfaces visible on each photo were modeled one by 
one in counter clockwise order. The photo with highest number 
of successful meshes for the same building surface was selected 
among the views taken from different positions. If none of the 
views provides successful meshing (Figure 9), then calibration 
was repeated. As a result, a mesh system for the bath whole was 
constituted. The photos shot parallel to the related building 
surfaces were projected onto the meshes in order to provide 
texture. 
         
   
   
  
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historical building. The end result model based on experiments 
with targets presents photorealistic details of the studied 
Ottoman bath. The accuracy is measurable with the error data 
provided by the software. The exterior surfaces including those 
of the walls and the vaults of the iliklik-sicaklik, the drum of the 
major dome, and bottom zones of all domes were modeled 
successfully (Figure 10). These positive results were achieved 
in the presence of the conditions mentioned in the below: 
e Providing targets on the building surfaces prior to 
shooting 
e Coordinating scale — lens — distance relations 
e Designing shooting angles 
e Providing sufficient illumination during shooting 
e Providing a parallel shot to each piece of building 
surface 
  
Figure 10. Presentation of photorealistic details of historical 
morphologies. 
Despite these positive results, there were some problems 
observed in the model gained with the targets. These may be 
listed as distortion, blurring and incompleteness. Distortion 
could be seen in the edges of building elements stemming from 
unrealistic mesh formation and photo projection. E.g. the edge 
between the vault of the water tank and the wall of the halvets, 
the edges of the domes that is in relation with the sky. 
Distortion parts were erased by tool and unrealistic shapes were 
cleaned (Figure 11). 
Figure 11. Distortion of surface material 
  
  
  
In case of presence of dense grass on the surface, e.g. the 
Fi 9. U ling of h i 
ue p sample era mes SUP exterior surface of the vault of the water tank, blurring occurs in F 
3. DISCUSSION AND CONCLUSION the related model. This stems from continuous change of di 
t position of grass due to breeze during shooting. Cutting grass NW 
inaj e 
In this study, the potential of new manual photogrammetric on the surfaces prior to shooting is recommended. % 
evaluation software Tgi3D Photoscan SU 1.27 was tested for a 
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