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Texture fields and texture flows: sensitivity to differences
1Computer Vision and Robotics Laboratory, McGill University, Montréal, Quebec, Canada.
Abstract:
There are two large classes of textures, those with an overall orientation structure (texture flows) and those without (texture fields). We investigate human sensitivity to detecting a patch of texture field within a texture flow psychophysically by using random not Moiré patterns. The resultant sensitivity, as a function of patch-size and path-length, is then related to a computational model of orientation selection, which reveals a connection between texture structure and the estimation of curvature. Finally, the connection back to curvature is confirmed by demonstrating a similarity between the patch sensitivity data and previous data on sensitivity to corners in flow patterns.