Published on Sun Mar 21 2010

Vitaly Pimenov

Interest point detection is a common task in various computer vision applications. Current paper proposes a system-theoretic approach to interest point detection. It is shown that given a descriptor it is possible to introduce notion of detector redundancy.

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Interest point detection is a common task in various computer vision applications. Although a big variety of detector are developed so far computational efficiency of interest point based image analysis remains to be the problem. Current paper proposes a system-theoretic approach to interest point detection. Starting from the analysis of interdependency between detector and descriptor it is shown that given a descriptor it is possible to introduce to notion of detector redundancy. Furthermore for each detector it is possible to construct its irredundant and equivalent modification. Modified detector possesses lower computational complexity and is preferable. It is also shown that several known approaches to reduce computational complexity of image registration can be generalized in terms of proposed theory.