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                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">lim</journal-id>
                    <journal-title>London Imaging Meeting</journal-title>
                    <issn pub-type="ppub">2694-118X</issn><issn pub-type="epub">2694-118X</issn>
                    <publisher>
                        <publisher-name>Society for Imaging Science and Technology</publisher-name>
                        <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                    </publisher>
                    </journal-meta>
                    <article-meta>
                    <article-id pub-id-type="doi">10.2352/lim.2024.5.1.14</article-id>
                    <article-id pub-id-type="publisher-id">15</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Proceedings Paper</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>A Pipeline for Characterising Virtual Reality Head Mounted Displays</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Bhaumik</surname>
                            <given-names>Ujjayanta </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">KU Leuven, Belgium</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Van de Perre</surname>
                            <given-names>Laurens </given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">KU Leuven, Belgium</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Leloup</surname>
                            <given-names>Frédéric B.</given-names>
                           </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">KU Leuven, Belgium</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>With the increasing popularity across various scientific research domains, virtual reality serves as a powerful tool for conducting colour science experiments due to its capability to present naturalistic scenes under controlled conditions. In this paper, a systematic approach for characterising the colorimetric profile of a head mounted display is proposed. First, a commercially available head mounted display, namely the Meta Quest 2, was characterised by aid of a colorimetric luminance camera. Afterwards, the suitability of four different models (Look-up Table, Polynomial Regression, Artificial Neural Network and Gain Gamma Offset) to predict the colorimetric features of the head mounted display was investigated.</p>
                    </abstract><pub-date>
                        <day>27</day>
                        <month>06</month>
                        <year>2024</year>
                        </pub-date><volume>5</volume>
                    <issue-acronym>LIM</issue-acronym>
                    <issue-title>London Imaging Meeting 2024 — Image Capture: From Photons to Photos Final Program and Proceedings</issue-title>
                    <issue seq="15">1</issue>
                    <fpage>62</fpage>
                    <lpage>66</lpage>
                    <permissions>
                         <copyright-statement></copyright-statement>
                        <copyright-year>2024</copyright-year>
                    </permissions><kwd-group><kwd>Immersive and extended reality imaging</kwd><kwd>Camera imaging performance &amp; image quality</kwd></kwd-group></article-meta>
                </front>
                </article>