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Génération, visualisation et évaluation d’images HDR : application à la simulation de conduite nocturne

Josselin Petit 1
1 COMBINING - COMputational BIology and data miNING
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes
Abstract : The LEPSiS is leading applied research on the transportation field. This PhD addresses perception and virtual reality, two research topics at the LEPSiS. The objective of my PhD was to improve the state of the art of the computer graphic image rendering for driving simulator applications. The main issue was the perceptual realism of the images, notably in high dynamic range conditions (night, glare). The proposed approach puts forward a High Dynamic Range mode, allowing us to render images in luminance.We use classic virtual environments, with small additional information about the light sources. The textures and materials are used for a rendering as close as possible to physical reality. Then, the image is processed by a tone mapping operator, which compresses the luminance dynamic, taking into account the limited range of the display device and the perceptual realism of the rendering. The chosen tone mapping is adapted to driving simulations, and especially to extreme situations (night, skimming sun). A glare simulation was also added. The entire rendering is real time, and is now included in the driving simulators of the LEPSiS. Lastly, real-virtual comparisons assessed the quality of the obtained HDR rendering. Moreover, two psycho-visual experiments with subjects, on photographs (with a real reference) and on video (without reference), showed the relevance of a tone mapping with a human visual model, including temporal adaptation to changing luminance, for driving simulations.
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Josselin Petit. Génération, visualisation et évaluation d’images HDR : application à la simulation de conduite nocturne. Autre [cs.OH]. Université Claude Bernard - Lyon I, 2010. Français. ⟨NNT : 2010LYO10259⟩. ⟨tel-00707723⟩

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