Coding of Shape in Human Vision

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This project aims to improve understanding of how the shape of objects is encoded in human vision. Knowing the shape of an object is critical for interacting with it appropriately. This project aims to study the human ability to convert local patches of light into a coherent shape description and will determine how a recently identified cue, representing the distribution of features in a shape, is used by the visual system to perform this task. The resulting description of shape coding, based on human vision, will help design methods for both efficiently encoding images in artificial vision systems and for creating images of objects for display.