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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B5-363-2012</article-id>
<title-group>
<article-title>CALIBRATION AND EPIPOLAR GEOMETRY OF GENERIC HETEROGENOUS CAMERA SYSTEMS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Luber</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rueß</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Manthey</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Reulke</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>German Aerospace Center Rutherfordstraße 2 12489 Berlin-Adlershof, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B5</volume>
<fpage>363</fpage>
<lpage>368</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 A. Luber et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B5/363/2012/isprs-archives-XXXIX-B5-363-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B5/363/2012/isprs-archives-XXXIX-B5-363-2012.pdf</self-uri>
<abstract>
<p>The application of perspective camera systems in photogrammetry and computer vision is state of the art. In recent years nonperspective
and especially omnidirectional camera systems were increasingly used in close-range photogrammetry tasks. In general
perspective camera model, i. e. pinhole model, cannot be applied when using non-perspective camera systems. However, several camera
models for different omnidirectional camera systems are proposed in literature. Using different types of cameras in a heterogeneous
camera system may lead to an advantageous combination. The advantages of different camera systems, e. g. field of view and resolution,
result in a new enhanced camera system. If these different kinds of cameras can be modeled, using a unified camera model, the
total calibration process can be simplified. Sometimes it is not possible to give the specific camera model in advance. In these cases
a generic approach is helpful. Furthermore, a simple stereo reconstruction becomes possible using a fisheye and a perspective camera
for example. In this paper camera models for perspective, wide-angle and omnidirectional camera systems are evaluated. The crucial
initialization of the model’s parameters is conducted using a generic method that is independent of the particular camera system. The
accuracy of this generic camera calibration approach is evaluated by calibration of a dozen of real camera systems. It will be shown,
that a unified method of modeling, parameter approximation and calibration of interior and exterior orientation can be applied to derive
3D object data.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
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