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Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor · Steven W Zucker

Sun Dec 08 02:00 PM -- 06:00 PM (PST) @ Harrah's Special Events Center, 2nd Floor #None

Association field models have been used to explain human contour grouping performance and to explain the mean frequency of long-range horizontal connections across cortical columns in V1. However, association fields essentially depend on pairwise statistics of edges in natural scenes. We develop a spectral test of the sufficiency of pairwise statistics and show that there is significant higher-order structure. An analysis using a probabilistic spectral embedding reveals curvature-dependent components to the association field, and reveals a challenge for biological learning algorithms.

Author Information

Matthew Lawlor (Yale University)
Steven W Zucker (Yale University)

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