深層学習による錯視研究の現状

抄録

Visual illusions are phenomena in which the actual physical parameters of an object are out of alignment with visual perception, such as when an object that is not moving appears to move, or when the color, brightness, or size of an object appears to be different from its reality. It is also the perception of such discrepancies. Illusions have attracted many people for a long time because they are surprising to the viewer and have a strong entertainment value. Illusions are thought to express the characteristics of visual information processing in the eye and brain, and are an important tool in the study of vision, and the field of research has been developing remarkably. In recent years, research methods have actively incorporated not only psychophysical methods but also modern brain science methodologies such as fMRI, and more recently, research utilizing artificial intelligence has also progressed. This paper focuses on the study of visual illusions using deep neural networks (DNN),which is being conducted in the authors’ laboratory and is becoming popular worldwide.