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    Gabor-based texture representation in AAMs

    Su, Y. and Gao, X. and Tao, D. and Li, Xuelong (2008) Gabor-based texture representation in AAMs. In: UNSPECIFIED (ed.) International Conference on Systems, Man and Cybernetics. New York, USA: Institute of Electrical and Electronics Engineers, pp. 2236-2240. ISBN 9781424423835.

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    Abstract

    Active Appearance Models (AAMs) are generative models which can describe deformable objects. However, the texture in basic AAMs is represented using intensity values. Despite its simplicity, this representation does not contain enough information for image matching. In this paper, we firstly propose to utilize Gabor filters to represent the image texture. The benefit of Gabor-based representation is that it can express local structures of an image. As a result, this representation can lead to more accurate matching when condition changes. Given the problem of the excessive storage and computational complexity of the Gabor, three different Gabor-based image representations are used in AAMs: (1) GaborD is the sum of Gabor filter responses over directions, (2) GaborS is the sum of Gabor filter responses over scales, and (3) GaborSD is the sum of Gabor filter responses over scales and directions. Through a large number of experiments, we show that the proposed Gabor representations lead to more accurate and reliable matching between model and images.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 12 Jul 2013 15:45
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7702

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