Abstract
Models of visual metamers have played a great role in development of display technologies. Starting from the invention of color displays based on human trichromacy, models of V1 have also successfully been applied to image processings and image quality assessments (e.g., Daly, 1992). Here, we show that such an approach can be effective to an emerging display technology such as projection mapping. In this study, we worked on "Deformation Lamps," a light projection technique developed by Kawabe et al. (2015), which adds dynamic impressions to a real static object (e.g., a picture of flames fluttering in the dark). The technique superimposes a dynamic sequence of grayscale patterns onto arbitrary (colorful) objects such that the combination of the dynamic signal and the original static information effectively drives motion mechanisms in the brain. However, if the spatial and/or contrast deviation between the superimposed pattern and the static information exceeds a certain limit, the visual system cannot resolve the inconsistency between the dynamic and the static information. The aim of this study was thus to establish a perceptually equivalent representation that can predict the limit in a given projection setting. In the experiment, we projected dynamic patterns to 10 different natural images while varying the deformation size and the contrast of the projection patterns as independent variables. The participants were asked to judge whether they perceived a natural impression of deformation of a static image or not. Under the conditions in which the natural impressions were obtained, the participants also reported the perceived size of the deformation by adjusting the deformation size of the test movie sequence. As a result, we found that a model of the response properties in V1 neurons can explain the perceived deformation sizes as well as the subjective inconsistency (measured as proportion of "unnatural" responses).
Meeting abstract presented at VSS 2016