This book investigates the underlying statistical regularities of natural scenes and how they shape our perception of geometrical illusions. Catherine Q. Howe, drawing on her expertise in visual perception and natural scene statistics, presents a novel framework for understanding why certain geometrical illusions occur. The book explores how the brain, through its adaptation to the statistical properties of the visual world, interprets ambiguous or distorted visual information, leading to predictable perceptual errors. It aims to bridge the gap between low-level visual processing and higher-level cognitive interpretations of visual stimuli.

The book is likely to be of interest to researchers and advanced students in vision science, cognitive psychology, and computational neuroscience. Its approach, linking perceptual phenomena to statistical properties of the environment, suggests a rigorous and data-driven analysis. The focus on explaining well-known illusions through a unified theoretical framework indicates a contribution to the understanding of visual perception.