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Communication Dans Un Congrès Année : 2020

Towards Visual Saliency Computation on 3D Graphical Contents for Interactive Visualization

Résumé

Understanding human visual attention mechanisms and interaction in immersive scenes are of great importance in perception. In immersive context, users are able to interact with increasingly rich/ complex 3D contents during rendering. Therefore, to avoid latency or rendering issues, there is a critical need for simplifying and filtering the primitives and levels of detail of these high-quality 3D graphics (according to viewing conditions). In order to ensure a high user's quality of experience (QoE) during interactive visualization, these processing operations should take into account perceptual information. To do so, we suggest an approach that uses visual saliency information of the 3D scene to guide simplification and level of details selection. In this paper, we question the efficiency of our novel approach to compute visual saliency on 3D graphics. This approach takes into consideration the viewpoint from which the 3D content was seen/rendered when computing saliency (whichever the considered viewpoint is), by using saliency maps of view-based method computed offline. Such technique could help alleviate rendering constraints during interactive visualization.
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Dates et versions

hal-03088764 , version 1 (26-05-2021)

Identifiants

Citer

Mona Abid, Matthieu Perreira, Patrick Le Callet. Towards Visual Saliency Computation on 3D Graphical Contents for Interactive Visualization. 2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3448-3452, ⟨10.1109/ICIP40778.2020.9191064⟩. ⟨hal-03088764⟩
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