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Transformation of 1D and 2D Autoregressive Random Fields Under Coordinate Scaling and Rotation

TitleTransformation of 1D and 2D Autoregressive Random Fields Under Coordinate Scaling and Rotation
Publication TypeThesis
Year of Publication2008
AuthorsKennedy, I.
Academic DepartmentDepartment of Systems Design Engineering
UniversityUniversity of Waterloo
CityWaterloo, Ontario, Canada
Thesis TypeM.A.Sc Thesis
Abstract

A practical problem in computer graphics is that of representing a textured surface at arbitrary scales. I consider the underlying mathematical problem to be that of interpolating autoregressive random fields under arbitrary coordinate transformations. I examine the theoretical basis for the transformations that autoregressive parameters exhibit when the associated stationary random fields are scaled or rotated. The basic result is that the transform takes place in the continuous autocovariance domain, and that the spectral density and associated autoregressive parameters proceed directly from sampling the continuous autocovariance on a transformed grid. I show some real-world applications of these ideas, and explore how they allow us to interpolate into a random field. Along the way, I develop interesting ways to estimate simultaneous autoregressive parameters, to calculate the distorting effects of linear interpolation algorithms, and to interpolate random fields without altering their statistics.