Full text: The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001 
198 
figure 5-3 three rendered views of the reconstructed box 
The advantages of this method are (1) The camera calibration 
was divided into two steps, this can obviously reduce the 
relativity among the orientation parameters. (2) During solving 
interior orientation parameters and rotation R, computational 
process is linear, without any iteration and initiated values. (3) 
The method makes full use of linear features and 
constrains(coplanar, parallel, vertical).It is robust and stable due 
to its strong geometric and mathematical relations. The newest 
trend to 3D reconstruction of building models consists of 
exploiting information other than images to support the analysis; 
for example fusing images with scanned, or digital maps. The 
information about the ground plans of the building available in 
the GIS map is used to define parametric building models. 
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photogrammetry,Royal Institute of Technology,Stochholm, 1993 
3M.J.Magee and J.K.Aggarwaal, Determining the position of a 
robot using a single calibration object,Proc.IEEE Conf.on Robtics, 
Atlanta, Georgia. 
4 R.Y.Tsai,1987.A versatile Camera Calibration Technique for 
High Accuracy 3D Machine Vision Metrology Using Off-the-Shelf 
TV Cameras and Lenses,IEEE J.Robotics and Automation, vol,3, 
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5 Tianen Chen, R.S.SHIBASAKI,1998,DETERMINATION OF 
CAMERA’S ORIENTATION PARAMETERS BASED ON LINE 
FEATURES .international Archives of Photogrammetry and 
Remote Seneing. vol.XXXII,part 5. 
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and Decomposition of a Rotation Matrix, Photogrammetric and 
Remote Sensing,Vol.56,pp. 1173-1179,1990
	        
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