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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>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLVIII-2-W12-2026-495-2026</article-id>
<title-group>
<article-title>The Fast and the Distorted – How Sensor Readout Shapes Image-based 3D Modelling</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Verhoeven</surname>
<given-names>Geert J.</given-names>
<ext-link>https://orcid.org/0000-0003-4825-9604</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Prehistoric and Historical Archaeology, University of Vienna, Franz-Klein-Gasse 1, 1190 Vienna, Austria</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>02</month>
<year>2026</year>
</pub-date>
<volume>XLVIII-2/W12-2026</volume>
<fpage>495</fpage>
<lpage>502</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Geert J. Verhoeven</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-2-W12-2026/495/2026/isprs-archives-XLVIII-2-W12-2026-495-2026.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-2-W12-2026/495/2026/isprs-archives-XLVIII-2-W12-2026-495-2026.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-2-W12-2026/495/2026/isprs-archives-XLVIII-2-W12-2026-495-2026.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-2-W12-2026/495/2026/isprs-archives-XLVIII-2-W12-2026-495-2026.pdf</self-uri>
<abstract>
<p>A photographic shutter regulates the duration of light reaching a photosensitive surface. Modern digital cameras employ diverse mechanical, electronic, or hybrid shutter technologies to synchronise light admission with a sensor&apos;s capacity to collect and reset charge. To clarify longstanding terminological inconsistencies, this paper first introduces a systematic, four-dimensional framework for classifying camera shutters alongside standardised terminology for describing key temporal quantities in the image-formation pipeline. It then focuses on progressive (i.e., rolling) exposure mechanisms in CMOS-based cameras, where sequential row-integration results in intra-frame temporal offsets across the image sensor that distort image geometry during camera or subject motion. A simple experimental setup utilising a 1,000 Hz flickering LED enables direct measurement of these temporal offsets, revealing substantial delays in electronic rolling shutters compared to mechanical or hybrid rolling-blind focal-plane types. Here, these effects are described by refining the broadly adopted notion of sensor readout into the proposed concept of shutter transit time. Finally, real-world image- based 3D modelling experiments on architectural case studies in Vienna, Austria, highlight the impact of slow shutter transit times in two typical rolling-shutter sensors. Subsequent bundle adjustments in Agisoft Metashape Professional demonstrate that even imperceptible rolling-shutter artefacts can significantly degrade camera exterior orientation and 3D surface quality, although the use of compensation algorithms markedly improves results. Overall, the paper highlights that sensor readout architecture&amp;mdash;rather than exposure duration alone&amp;mdash;is a decisive factor in determining the geometric fidelity of image-based 3D surface reconstructions.</p>
</abstract>
<counts><page-count count="8"/></counts>
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