Tags

Type your tag names separated by a space and hit enter

Computationally efficient wavelet affine invariant functions for shape recognition.
IEEE Trans Pattern Anal Mach Intell. 2004 Aug; 26(8):1095-9.IT

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.

Authors+Show Affiliations

Bala E
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. erdem@udel.edu
Cetin AE
No affiliation info available

MeSH

AlgorithmsArtificial IntelligenceCluster AnalysisComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-Assisted

Pub Type(s)

Comparative Study
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

15641739

Citation

Bala, Erdem, and A Enis Cetin. "Computationally Efficient Wavelet Affine Invariant Functions for Shape Recognition." IEEE Transactions On Pattern Analysis and Machine Intelligence, vol. 26, no. 8, 2004, pp. 1095-9.
Bala E, Cetin AE. Computationally efficient wavelet affine invariant functions for shape recognition. IEEE Trans Pattern Anal Mach Intell. 2004;26(8):1095-9.
Bala, E., & Cetin, A. E. (2004). Computationally efficient wavelet affine invariant functions for shape recognition. IEEE Transactions On Pattern Analysis and Machine Intelligence, 26(8), 1095-9.
Bala E, Cetin AE. Computationally Efficient Wavelet Affine Invariant Functions for Shape Recognition. IEEE Trans Pattern Anal Mach Intell. 2004;26(8):1095-9. PubMed PMID: 15641739.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Computationally efficient wavelet affine invariant functions for shape recognition. AU - Bala,Erdem, AU - Cetin,A Enis, PY - 2005/1/12/pubmed PY - 2005/2/11/medline PY - 2005/1/12/entrez SP - 1095 EP - 9 JF - IEEE transactions on pattern analysis and machine intelligence JO - IEEE Trans Pattern Anal Mach Intell VL - 26 IS - 8 N2 - 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. SN - 0162-8828 UR - https://www.unboundmedicine.com/medline/citation/15641739/Computationally_efficient_wavelet_affine_invariant_functions_for_shape_recognition_ DB - PRIME DP - Unbound Medicine ER -