Finally, an orthoprojection as third presentation of
common use will be shown here. Compared to the
already shown visualizations, it is simply a somewhat
different geometry behind this projection, allowing to
perform exact geometrical investigations in the graphical
plot. The structure of the object data therein allows to
take the attribute values in order to give the connection to
the digital images, necessary to calculate the gray values
belonging to the surface parts (cf fig. 12).
Figure 12: Orthoprojection for a surface part.
CONCLUSION
The example shown here presents a procedure giving the
opportunity to evaluate the surface of a volume object by
digital photogrammetric means, to establish a data
structure giving a unique description of the 3D data
characteristic of the object and to attach several useful
attribute values to the metric data. These attributes are
pre-requesite for some applications as the visualizations
have shown, but might be helpful anyway.
Basically, the presented solution allows any user or
scientist from disciplines having volume objects, to
intensively analyze or geometrically investigate these
objects, in order to support their specific applications (cf
Boehler W, Heinz G., 1996). Of special value is the fact,
that this is achieved without any preparation of the
surface, what might be important in some cases (eg
historical paintures).
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996
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KEY WORD
ABSTRACT
Stereocorrel
yields eight
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point distribi
belong to i
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KURZFASS
Stereokorre
beruht auf :
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die kritische
der fünf C
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Algebroproj
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orientation.
cannot be |
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points whic
the images
the determ
the usual s
set of thre
coordinate
homologou
two affine
first coorc
coordinate
most uncoi
The paran
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condition
system of
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solution d