Computationally efficient wavelet affine invariant functions for shape recognition

Files

Computationally efficient wavelet affine invariant functions for 2D object recognition.pdf (254.71 KB)

Date

2004

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

BUIR Usage Stats
3
views
20
downloads

Citation Stats

  • Share

Series

Abstract

An affine invariant function for object recognition is constructed from wavelet coefficients of the object boundary. In previous works, undecimated dyadic wavelet transform was used to construct affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute an affine invariant function. As a result computational complexity is reduced without decreasing recognition performance. Experimental results are presented. © 2004 IEEE.

Source Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

Publisher

IEEE

Course

Other identifiers

Book Title

Keywords

Algorithms, Approximation theory, Computational complexity, Computer simulation, Correlation methods, Image analysis, Matrix algebra, Wavelet transforms, Affine transformation, Computational efficiency, Decimated wavelet transform, Shape recognition, Object recognition

Degree Discipline

Degree Level

Degree Name

Citation

Permalink

http://hdl.handle.net/11693/24244

Published Version (Please cite this version)

http://dx.doi.org/10.1109/TPAMI.2004.39

Collections

Scholarly Publications - Electrical and Electronics Engineering

Language

English

Type

Article