IEEE Trans Image Process - Second-order optimization of mutual information for real-time image registration.

Tópicos

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Resumo

In this paper, we present a direct image registration approach that uses mutual information (MI) as a metric for alignment. The proposed approach is robust and gives an accurate estimation of a set of 2-D motion parameters in real time. MI is a measure of the quantity of information shared by signals. Although it has the ability to perform robust alignment with illumination changes, multimodality, and partial occlusions, few works have proposed MI-based applications related to spatiotemporal image registration or object tracking in image sequences because of some optimization problems, which we will explain. In this paper, we propose a new optimization method that is adapted to the MI cost function and gives a practical solution for real-time tracking. We show that by refining the computation of the Hessian matrix and using a specific optimization approach, the registration results are far more robust and accurate than the existing solutions, with the computation also being cheaper. A new approach is also proposed to speed up the computation of the derivatives and keep the same optimization efficiency. To validate the advantages of the proposed approach, several experiments are performed.

Resumo Limpo

paper present direct imag registr approach use mutual inform mi metric align propos approach robust give accur estim set d motion paramet real time mi measur quantiti inform share signal although abil perform robust align illumin chang multimod partial occlus work propos mibas applic relat spatiotempor imag registr object track imag sequenc optim problem will explain paper propos new optim method adapt mi cost function give practic solut realtim track show refin comput hessian matrix use specif optim approach registr result far robust accur exist solut comput also cheaper new approach also propos speed comput deriv keep optim effici valid advantag propos approach sever experi perform

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