IEEE Trans Image Process - Linearly estimating all parameters of affine motion using Radon transform.

Tópicos

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Resumo

Fast and accurate motion estimation takes an important place in many fields of computer vision and image processing. Using Radon transform to compute projections of the images along specified directions is an effective way to show the relationship between the 2D image object and its projections and estimate motions between the images. All existing projection-based motion estimation methods without the use of iteration have a severe defect that only five of the six affine parameters can be estimated. There are some other methods that can estimate the six parameters, but most of them are usually based on a certain iterative framework, which is computationally intensive and sensitively dependent on the initial values. In this paper, a novel method based on Radon transform is proposed to estimate all the six affine parameters directly. The relationship in the projection domain between a pair of images connected by an affine motion is studied and a linear model is established, by which all the six affine parameters can be directively found. The employment of a hierarchical framework can produce more accurate results. The experimental results reveal that the proposed method has a much better performance than the state-of-the-art methods in this field.

Resumo Limpo

fast accur motion estim take import place mani field comput vision imag process use radon transform comput project imag along specifi direct effect way show relationship d imag object project estim motion imag exist projectionbas motion estim method without use iter sever defect five six affin paramet can estim method can estim six paramet usual base certain iter framework comput intens sensit depend initi valu paper novel method base radon transform propos estim six affin paramet direct relationship project domain pair imag connect affin motion studi linear model establish six affin paramet can direct found employ hierarch framework can produc accur result experiment result reveal propos method much better perform stateoftheart method field

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