Richard Murray

Richard Murray is a Full Professor in the Department of Biology at the Faculty of Science. His research focuses on visual perception, particularly lightness constancy, and explores how humans and AI models perceive lightness in varied environments such as virtual reality (VR), flat-panel displays, and real-world settings. He investigates the interplay between natural lighting cues, rendering artifacts, and perceptual mechanisms, employing deep learning models and psychophysical experiments.

His work bridges computer vision and neuroscience, analyzing mid-level lightness illusions, intrinsic image decomposition, and decision spaces in complex scenes. Murray has developed novel visualization techniques like the 'noise prism' and contributed to VR display calibration methodologies. His research often addresses discrepancies between human perception and computational models, emphasizing the limitations of current AI in replicating human visual constancy.

No scientific awards or grants are explicitly listed in the provided information. His advising activities and student collaborations are not detailed here.

Laboratory or team affiliations are not specified, though his work suggests involvement with multidisciplinary teams in vision science and computational modeling.