<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Heterogenous Face Recognition | Professional website of Sébastien Marcel</title><link>https://www.idiap.ch/~marcel/tags/heterogenous-face-recognition/</link><atom:link href="https://www.idiap.ch/~marcel/tags/heterogenous-face-recognition/index.xml" rel="self" type="application/rss+xml"/><description>Heterogenous Face Recognition</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.idiap.ch/~marcel/media/icon_hu_903cac8985788c1d.png</url><title>Heterogenous Face Recognition</title><link>https://www.idiap.ch/~marcel/tags/heterogenous-face-recognition/</link></image><item><title>INTERART</title><link>https://www.idiap.ch/~marcel/project/active/interart/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/project/active/interart/</guid><description>&lt;p&gt;The INTERART project brings together the Geneva&amp;rsquo;s Museum of art and history
(MAH), the University of Oxford, the Idiap Research Institute, as well as the
School of criminal justice of the University of Lausanne. Together, these
institutions are collaborating to uncover the identities of subjects in the
MAH&amp;rsquo;s historical portrait collection, many of whom remain unknown. Notably, the
project investigates suspected portraits of Marie-Antoinette, Queen of France,
and Marie-Caroline, Queen of Naples, by Jean-Étienne Liotard.&lt;/p&gt;
&lt;p&gt;Heterogeneous face recognition is being used to uncover the
identities of the sitters. This technology enables a face recognition system to
compare faces in diverse media (coloured image, thermal image, drawing,
painting). It opens new paths for interpretation and could enable us to reveal
the identities of the individuals portrayed.&lt;/p&gt;
&lt;p&gt;The project perfectly aligns with Idiap&amp;rsquo;s vision, demonstrating how artificial
intelligence can serve society by unveiling new insights and enriching the
disciplines it engages with. It also underscores the wide-ranging applications
of AI and the Institute&amp;rsquo;s cutting-edge expertise.&lt;/p&gt;
&lt;p&gt;Supported by the Loterie Romande, the project includes several phases, with an
exhibition at the MAH in autumn 2026 and a publication.&lt;/p&gt;</description></item><item><title>CARMEN</title><link>https://www.idiap.ch/~marcel/project/active/carmen/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.idiap.ch/~marcel/project/active/carmen/</guid><description>&lt;p&gt;CARMEN develops biometric solutions for &lt;strong&gt;non-stop border control&lt;/strong&gt; for both
pedestrians and vehicles in uncontrolled environments.&lt;/p&gt;
&lt;p&gt;The project addresses the practical difficulties of &amp;ldquo;on-the-move&amp;rdquo; biometrics,
including lower-quality live data, lack of time to read ePassports, and real
operational constraints outside controlled indoor checkpoints. It aims to make
biometric border technologies more accurate, reliable, and deployable in
realistic large-scale scenarios.&lt;/p&gt;</description></item></channel></rss>