Prediction of the Appearance of Rotating Figures Using an Impulse Response Model of Vision

Abstract

It is known that when observing a moving object, the object appears different from its stationary state. It may appear blurred or, conversely, it may appear clear. Since how it appears depends on the situation, it is difficult to design an appearance that takes into account how it appears when it is moving. The phenomenon in which objects are perceived to be sharpened by motion is called motion sharpening, and several explanatory models have been proposed. In this study, we developed a method to ensure the appearance of rotating figures based on one of these models. The proposed method uses digital image filtering to generate images that guarantee the appearance of rotating figures at a constant speed in a certain direction. We also verified how well our method predicts the appearance of rotating figures by using a figure based on an alphabetic symbol motif. The results show promising clues for building a method to manipulate the appearance of rotating objects.