Immersion visuelle réaliste : proposition d'un modèle d'évaluation

Abstract : The thesis "Hyper-realistic and multi-sensorial 3D visual immersion" was carried out within the framework of a CIFRE contract established between Arts et Métiers on the one hand and Renault SAS on the other. It proposes a score model to objectively evaluate the ability of an immersive display system to reproduce the right level of sensory stimulation for a user, compared to what he would receive in reality and to the modeling of the human visual system.First, we were interested in laying the foundations of the model: it is composed of twelve criteria, equitably divided into a sum of vision indices and immersion indices. Each criterion is given, as far as possible, a score from 0 to 100. A score of 0 represents the visual system’s inability to perceive or use visual information, while a score of 100 represents maximum capacity. A score of 80 is also assigned for standard performance. Each criterion is assigned a weight according to the task performed in the virtual environment.We then carry out a series of experiments to complete the information available in the literature, to establish the criteria. Contrast and latency are of particular interest. The first experiment consists in the transposition and validation of a visual performance model in Virtual Reality. In the second, we compare the effects of latency on a given task, between a CAVE simulator and a HMD.The thesis proposes a number of theoretical, methodological and experimental results. In virtual immersion conditions, contrast and luminance criteria are important for visual perception. Experiments show that a model adapted to virtual immersion conditions is necessary. Furthermore, we show that thresholds of latency influence on performance seem to exist. The relevance of correlations between simulator performance, presence and cyber-sickness is also checked, depending on the latency and the immersive system.
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Benoit Perroud. Immersion visuelle réaliste : proposition d'un modèle d'évaluation. Traitement du signal et de l'image [eess.SP]. Ecole nationale supérieure d'arts et métiers - ENSAM, 2018. Français. ⟨NNT : 2018ENAM0060⟩. ⟨tel-02073167⟩

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