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• W1993778445 abstract "Despite the well known advantages that a space-variant representation of the visual signal offers, the required adaptation of the algorithms developed in the Cartesian domain, before applying them in the log-polar space, has limited a wide use of such representation in visual processing applications. In this paper, we present a set of original rules for designing a discrete log-polar mapping that allows a direct application in the log-polar domain of the algorithms, based on spatial multi-scale and multi-orientation filtering, originally developed for the Cartesian domain. The advantage of the approach is to gain, without modifications, an effective space-variance and data reduction. Such design strategies are based on a quantitative analysis of the relationships between the spatial filtering and the space-variant representation. We assess the devised rules by using a distributed approach based on a bank of band-pass filters to compute reliable disparity maps, by providing quantitative measures of the computational load and of the accuracy of the computed visual features." @default.
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• W1993778445 date "2012-01-01" @default.
• W1993778445 modified "2023-09-25" @default.
• W1993778445 title "Design strategies for direct multi-scale and multi-orientation feature extraction in the log-polar domain" @default.
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• W1993778445 doi "https://doi.org/10.1016/j.patrec.2011.09.021" @default.
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