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- W2068644661 abstract "The registration of images from cameras of di.erent types and/or at different locations is of great interest forboth military and civilian applications. Most available techniques are pixel level registration and use intensitycorrelation to spatially align pixels from the two cameras. Lots of computation is consumed to operate oneach pixel of the images and as a result, it would be diffcult to register the images in real time. Furthermore,images from different types of cameras may have different intensity distributions for corresponding pixels whichwill degrade the registration accuracy. In this paper we propose to use improved Minimal Resource AllocationNetwork (MRAN) to solve the image registration problem from two cameras. Potential features are added toimprove the performance of MRAN. There are two main contributions in this paper - First, weights going directlyfrom inputs to outputs are introduced and these parameters are updated by including in the extended Kalmanfilter algorithm. Second, initial number of hidden units for the sequential training of MRAN are specified andthe means of the initial hidden units are precalculated using Self Organizing Maps. The experimental resultsshow that the proposed algorithm peforms very well both in speed and accuracy." @default.
- W2068644661 created "2016-06-24" @default.
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- W2068644661 date "2007-04-09" @default.
- W2068644661 modified "2023-09-23" @default.
- W2068644661 title "Real-time object-based image registration using improved MRAN" @default.
- W2068644661 doi "https://doi.org/10.1117/12.718680" @default.
- W2068644661 hasPublicationYear "2007" @default.
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