TY - GEN
T1 - General geometric good continuation
T2 - 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
AU - Ben-Shahar, Ohad
AU - Zucker, Steven W.
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Good continuation is the Gestalt observation that parts often to form coherent wholes. Perceptual integration of edges, for involves orientation continuation, and has been widely computationally. But local-global relationships, such as for shading, elusive. While Taylor's certain ness criteria, the consideration of levelset geometry a different principles we derive, for the first time, a of to all visual structures can be abstracted as scalar functions over the Our model yields a coupled system of partial equations, which to a class of harmonic a network-based for structure inference which we apply to shading and intensity distributions. We demonstrate how this approach eliminates spurious measurements while preserving both singularities and regular structure, a property that facilitates higher level processes which so on both of structures.
AB - Good continuation is the Gestalt observation that parts often to form coherent wholes. Perceptual integration of edges, for involves orientation continuation, and has been widely computationally. But local-global relationships, such as for shading, elusive. While Taylor's certain ness criteria, the consideration of levelset geometry a different principles we derive, for the first time, a of to all visual structures can be abstracted as scalar functions over the Our model yields a coupled system of partial equations, which to a class of harmonic a network-based for structure inference which we apply to shading and intensity distributions. We demonstrate how this approach eliminates spurious measurements while preserving both singularities and regular structure, a property that facilitates higher level processes which so on both of structures.
UR - http://www.scopus.com/inward/record.url?scp=33847098302&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33847098302
SN - 0780394224
SN - 9780780394223
T3 - Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
SP - 1184
EP - 1191
BT - Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
Y2 - 13 October 2005 through 15 October 2005
ER -