Understanding Image Understanding is the study of representational schemes and computational mechanisms for computing objects and scenes captured in visual signals. We approach the problems from three closely related perspectives. Theoretical and experimental studies of visual perception in biological systems. Topics include mental representation of 3D forms, 3D shape recovery from motion, shading, and texture. Computational modeling of visual perception and neural networks.
Biological vision is modeled as a massive dynamical system.
Topics include visual attention, perceptual organization, and scene segmentation. Visual perception is posed as statistical inference.