Auto-stereoscopic Rendering Quality Assessment Depending on Positioning Accuracy of Image Sensors in Multi-view Capture Systems

Our interest in 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 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. We propose two different approaches for assessment of the 3D rendering quality. The first one is based on visual assessment tests of the 3D rendering quality by human observers. The second approach is based on the acquired scientific knowledge on human visual acuity. We present some simulation and experimental tests as well as the obtained results and their repercussion on the positioning accuracy of the shooting parameters.

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