Surface interpolation networks

Authors:
Alex P. Pentland
Affiliations:
Perceptual Computing Group, The Media Laboratory, Massachusetts Institute of Technology, Room E15-387, 20 Ames Street, Cambridge MA 02139 USA
Venue:
Neural Computation
Year:
1993

Citing 4
Cited 1

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Abstract

Orthogonal wavelets can be used as models for receptive fields in the human visual system. They may also be used to solve spatial interpolation problems formulated either as regularization or 2-D Kalman filtering. The solutions take the form of simple feedback networks, and only a few iterations are required for convergence.