Quality assessment of auto-stereoscopic rendering depending on positioning accuracy of multi-view capture systems’ components
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This paper concerns the quality assessment of the 3D rendering in a production process of auto-stereoscopic images using a multi-view camera with parallel and decentring configuration. The 3D rendering quality problem for such process is related to the coherence of the captured images of different viewpoints. This coherence depends, among others, on a rigorous respect of the shooting and rendering geometries. Assuming perfect rendering conditions, we are rather interested in the shooting geometry and image sensors positioning. This latter must be accurate enough to produce images that are quite coherent with each other and that contribute fully to achieve a quality 3D content. The purpose of this paper is precisely to study the positioning accuracy of the different geometrical parameters of shooting based on a quality assessment of auto-stereoscopic rendering. For the assessment of the 3D rendering quality and in order to determine a positioning accuracy of the different components of the considered multi-view camera, two different approaches are proposed. The first one is based on visual assessment tests of the 3D rendering quality by human observers. The second one is based on the acquired scientific knowledge on human visual acuity. Finally, some simulation and experimental results and their repercussion on the positioning accuracy of the shooting parameters are presented.
Keywords3D quality assessment Multi-view capture accuracy Dynamic 3D scene capture Auto-stereoscopic visualization Visual servoing
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