CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1983 vol.5 Issue No.02 - February
Issue No.02 - February (1983 vol.5)
V. N. Dvornychenko , Ford Aerospace and Communications Corporation, Newport Beach, CA 92660; Electro-Mechanical Division, Northrop Corporation, Anaheim, CA 92801.
The auto/cross correlation of L2 functions are constrained by certain bounds which may often be used to advantage. These bounds apply to all the common cross correlation functions used for registration purposes (called ``deterministic'' correlation functions in this paper, as opposed to stochastic correlation based on non-L2 functions). It is shown that the envelopes of deterministic autocorrelations have essentially a cosine-like behavior but with jump discontinuities at points where the normalized relative displacement is the reciprocal of an integer. Several inequalities extending these results are given. It is shown how these can be applied toward obtaining improved registration algorithms.
V. N. Dvornychenko, "Bounds on (Deterministic) Correlation Functions with Application to Registration", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.5, no. 2, pp. 206-213, February 1983, doi:10.1109/TPAMI.1983.4767373