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              <p>&lt;div&gt;&lt;p&gt;L'évaluation de la qualité des nuages de points sans référence (en anglais, No-Reference Point Cloud Quality Assessment : NR-PCQA) vise à estimer la qualité perceptuelle d'un nuage de points sans nécessiter de référence, en se rapprochant du jugement humain. Cependant, la plupart des approches existantes n'exploitent pas pleinement les informations visuelles perçues par l'observateur, alors qu'elles jouent un rôle clé dans l'évaluation de la qualité. Dans cet article, nous proposons une nouvelle méthode NR-PCQA intégrant la saillance visuelle 3D afin d'améliorer l'estimation de la qualité. Nous générons d'abord une carte de saillance 3D, qui sert à pondérer le nuage de points en accordant une importance accrue aux régions perceptuellement significatives, celles qui captent spontanément l'attention humaine. Le nuage de points pondéré obtenu est ensuite analysé par un encodeur 3D, qui traite directement les points pour prédire un score objectif de qualité. Les expérimentations menées sur deux bases de données publiques de PCQA montrent que notre approche surpasse la majorité des méthodes existantes.&lt;/p&gt;&lt;/div&gt; &lt;div&gt;Mots Clef&lt;p&gt;Nuage de points, saillance visuelle 3D, évaluation sans références de la qualité.&lt;/p&gt;&lt;/div&gt;</p>
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