Polar-fisherspace: a linear transformation invariant model for appearance based object recognition
Polar-fisherspace: a linear transformation invariant model for appearance based object recognition
- Author(s): B.H. Shekar ; P. Nagabhushan ; D.S. Guru
- DOI: 10.1049/cp:20060595
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- Author(s): B.H. Shekar ; P. Nagabhushan ; D.S. Guru Source: IET International Conference on Visual Information Engineering (VIE 2006), 2006 p. 577 – 582
- Conference: IET International Conference on Visual Information Engineering (VIE 2006)
- DOI: 10.1049/cp:20060595
- ISBN: 0 86341 671 3
- Location: Bangalore, India
- Conference date: 26-28 Sept. 2006
- Format: PDF
In this paper, we present a polar-fisherspace representation scheme for appearance based object recognition. Given an object or a face image, we first transform to its polar coordinate (r, thetas) representation called polar image using the center of mass of the image as the origin. Fourier spectrum of a polar-image is obtained for achieving invariance to linear transformations (in-plane rotation and scale). The transformed polar image is then subjected to the (2D)2-FLD (Nagabhushan et al., 2006) to construct polar-fisherspace. Experiments conducted on COIL-20 dataset and AT&T face dataset show that the proposed polar-fisherspace representation is invariant to linear transformations and hence is suitable for real time practical recognition applications.
Inspec keywords: face recognition; object recognition; image morphing; image representation
Subjects: Image recognition; Computer vision and image processing techniques; Image recognition
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