Full text: Spatial information from digital photogrammetry and computer vision (Part 1)

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The user may open the overview window to show a 
reduced version of the entire image. The overview 
window helps to keep the synopsis and allows to move to 
any image point with a single mouse click. À rectangular 
frame is highlighting the region displayed in the toplevel 
window. 
Data structures 
Image data are stored in a fixed four step resolution 
pyramid with the following levels of detail: 
(1) The icon, that is used by the image browser to 
identify the image. 
(2) The overview image displayed in the overview 
window. 
(3) The toplevel image displayed in the toplevel 
window. 
(4) The image itself that is stored in a tiled image 
file format with tiles of 256 x 256 pixels each. 
Storing the images in this special tiled format guarantees 
access to the image data independent of the original 
image size and the position of the desired region within 
the image. 
The storage overhead for the first three images is less 
than 1.5 Mbytes. Any other information like color table or 
additional image information are stored in human 
readable ASCII files that are totally maintained by the 
system. 
Data compression could be applied to the image data 
with little modification of the code but it would slow down 
the image access significantly. Since lossy compression 
can not guaranty the requested accuracy only lossiess 
methods can be used. The expected storage reduction of 
these methods is about 5096. Comparing these figures to 
the significant loss of performance we decided not to use 
compression so far. 
Photogrammetric Applications 
Based on its data management and image measurement 
functions XLTT allows to manage digital photogrammetric 
projects. Embedded into a software environment 
including programs for photogrammetric set-up and 
bundle adjustment XLTT was used in several 
photogrammetric projects. With XLTT and a handful of 
programs for data file conversion we are now able to 
operate in a completely digital environment. At one end a 
scanner (VX3000 film scanning system of VEXCEL 
Imaging Corp.) is used to produce digital images. Then 
XLTT manages the image data and the coordinate 
measurement task. Using the monoscopic and the stereo 
measurement tools, which are partly under development, 
2D and 3D object coordinates are measured and stored 
on data files. These data are imported into CAD systems 
or processed by TIN software and lead to the CAD model 
of the object. 
Outlook 
XLTT is still growing and several modules are under 
development or in a test phase right now. Some of these 
modules are: 
(1) Stereo matching tool, 
(2) Stereo display tool, 
(3) Stereo mensuration tool, 
(4) Additional input and output filters (e.g. DXF for 
line drawing overlays). 
It is possible to translate the IDL code to C or C++ to get 
a higher performance so that online image compression 
would become possible. Replacing the image database 
module by some ‘professional’ data base system would 
result in higher flexibility and performance. Multi user 
access to a single image data base in a distributed 
photogrammetric computing environment would also 
need a switch to custom code 
References 
[1] Ebner, H.; Fritsch, D.; Heipke, Ch.;(Eds.), 1991. 
Digital Photogrammetric Systems, Wichmann 
Verlag, Karlsruhe. 
[2] Leberl, F., Ebner, H., Dowman, l., (Eds.), 1992. 
Softcopy Photogrammetric Workstations, 
Photogrammetric Engineering and Remote 
Sensing, Vol. LVIII, Nr. 1, Bethesda. 
[3] deValk, J. P. J. (Ed.), 1992. Integrated Diagnostic 
Imaging: Digital PACS in Medicine, Elsevier, 
Amsterdam. 
[4] Wiesmann, W. et al., 1992. PACS - demand on 
spatial and contrast resolution for digital 
workstations, in [3], p. 201 ff. 
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