MultiView perceptual disparity model for super multiView video

Abstract

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 tech- nical and perceptual factors related to this approach is crucial. This paper presents a novel model to capture the subjective per- ception 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 ap- propriately the perceptual cues specific to SMV visualization. The model has been validated using the results of subjective tests on re- alistic 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 se- quences that should be used to guarantee satisfactory visual expe- rience. Thus, the MVPDM constitutes a valuable tool for the design of subjective evaluation and content creation of SMV.