RESEARCH ARTICLE
Object Recognition Using Wavelet Based Salient Points
S. Arivazhagan, R. Newlin Shebiah
Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, 626 005,
India
Article Information
Identifiers and Pagination:
Year: 2009Volume: 2
First Page: 14
Last Page: 20
Publisher Id: TOSIGPJ-2-14
DOI: 10.2174/1876825300902010014
Article History:
Received Date: 29/06/2009Revision Received Date: 07/08/2009
Acceptance Date: 07/08/2009
Electronic publication date: 11/9/2009
Collection year: 2009
© 2009 Arivazhagan and Shebiah.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
In this paper an efficient method to learn and recognize objects from unlabeled natural scenes using patch based object representation is proposed. In the domain of object recognition, it is often the case that images have to be classified based on objects which make up only a very limited part of the image. Hence Patches (local features) are used to describe properties of certain region of an image. The proposed algorithm directly matches the parts distributed in a reference image that contains the object to those extracted in the test and hence it reports better matching. The experimental evaluation of the proposed method is done using the well-known Caltech database.
Keywords: Object Recognition, Wavelet Transform, salient points, zero tree representation.
