MultiView Perceptual Disparity Model for Super MultiView Video

Super MultiView (SMV) video display is the most promising technology for 3-D glasses-free visualization. Although only a few prototypes are currently available, the research on technical and perceptual factors related to this approach is crucial. This paper presents a novel model to capture the subjective perception of SMV, called the MultiView Perceptual Disparity Model (MVPDM), by means of a parametrization of the relation between: 1) capture and scene settings, and 2) perception of speed comfort and smoothness in the viewpoint transition. The MVPDM is based on a novel parameter: the perceptual disparity, that captures appropriately the perceptual cues specific to SMV visualization. The model has been validated using the results of subjective tests on realistic SMV content as benchmark. On the one hand, the subjective results show a high correlation with the MVPDM parametrization, outperforming previous approaches. On the other hand, this test provides useful information about the parameters of the SMV sequences that should be used to guarantee satisfactory visual experience. Thus, the MVPDM constitutes a valuable tool for the design of subjective evaluation and content creation of SMV.