An affine invariant function using PCA bases with an application to within-class object recognition

Tzimiropoulos, Georgios, Mitianoudis, N. and Stathaki, T. (2007) An affine invariant function using PCA bases with an application to within-class object recognition. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 15 - 20 April 2007.

Full content URL:

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


The problem of shape-based recognition of objects under affine transformations is considered. We focus on the construction of a robust and highly discriminative affine invariant function that can be used for within-class object recognition applications. Using the boundaries of the objects of interest, a training scheme, based on Principal Component Analysis (PCA), is proposed to derive a set of basis functions with desired properties. The derived bases are then used for the construction of a novel affine invariant function. The proposed invariant function is evaluated for the problem of aircraft silhouette identification and appears to achieve comparable performance to a popular wavelet-based affine invariant function. At the same time, the proposed framework is much simpler than that based on wavelet analysis. © 2007 IEEE.

Additional Information:Conference Code: 69976
Keywords:Function evaluation, Object recognition, Personnel training, Problem solving, Affine transformation, Shape-based object recognition, Principal component analysis
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:8741
Deposited On:01 Aug 2013 09:48

Repository Staff Only: item control page