The theoretical space of visual images is effectively infinite. But natural images occupy a tiny portion of this space. Statistical regularities in this space can be exploited by the visual system. We study the statistics of natural images and examine their relevance for visual coding and perception. [papers]

The visual system does not directly encode 3D information, so it must be inferred from a variety of visual cues, such as linear perspective and binocular disparity. We study how these cues are used and combined in our perception of the 3D world, and how this perception is shaped by our experiences. [papers]

The creation of convincing and practical computer graphics and virtual reality experiences can be aided by studying the human visual system. We seek to understand when realism is required for accurate perception and comfort, and when it's okay to take shortcuts. [papers]

How will new display technology improve visual experiments? What is the scientific knowledge base of internet users? Does a person's expectations affect which areas in the brain are recruited to understand a story? [papers]