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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/s11250-008-9209-3

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1573-7721

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Discriminative transform of receptive field patter

Authors: Yucheng Shu Tianjiang Wang Guangpu Shao Chunlong Hu
Publish Date: 2015/05/27
Volume: 75, Issue: 13, Pages: 7495-7517
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Abstract

As reported by many neurophysiological researches the receptive field is a basic and significant component in the human visual system It has various kinds of properties such as orientationselectivity correlativity etc Motivated by these structural and functional properties we propose in this paper a novel local image descriptor namely the Discriminative Transform of Receptive Field DTRF Specifically around each sample pixel in the interest region we define a lowlevel feature structure called Receptive Field Patterns RFP which is further divided into two components the RFPCenter and RFPSurround Then the local features are extracted based on Local Annular Discrete Cosine Transform LADCT At the descriptor construction stage these features are pooled spatially to mimic the correlative property of receptive field Image matching and classification experiments on four standard data set demonstrate that the proposed descriptor outperforms the stateoftheart methods under various types of image transformations such as rotation and scaling changes viewpoint changes image blurring JPEG compression illumination changes and image noise

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