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Effect of Salient Features in Object Recognition

by Kashif Ahmad, Nasir Ahmad, Kamal Haider, Muhammad Jawad Ikram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 13
Year of Publication: 2013
Authors: Kashif Ahmad, Nasir Ahmad, Kamal Haider, Muhammad Jawad Ikram
10.5120/9991-4839

Kashif Ahmad, Nasir Ahmad, Kamal Haider, Muhammad Jawad Ikram . Effect of Salient Features in Object Recognition. International Journal of Computer Applications. 61, 13 ( January 2013), 34-39. DOI=10.5120/9991-4839

@article{ 10.5120/9991-4839,
author = { Kashif Ahmad, Nasir Ahmad, Kamal Haider, Muhammad Jawad Ikram },
title = { Effect of Salient Features in Object Recognition },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 13 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number13/9991-4839/ },
doi = { 10.5120/9991-4839 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:09:03.205357+05:30
%A Kashif Ahmad
%A Nasir Ahmad
%A Kamal Haider
%A Muhammad Jawad Ikram
%T Effect of Salient Features in Object Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 13
%P 34-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the SIFT and SURF based recognition, the paper presents the impact of salient features in object recognition. We use the two well-known image descriptors in the bag of words framework on five online available standard datasets. Experiments show that by introducing saliency in the bag of words model, state-of-the-art performance can still be retained while reducing considerable amount of data processing and thus achieving faster execution times.

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Index Terms

Computer Science
Information Sciences

Keywords

Salient features Saliency Object recognition SIFT SURF Interest point detectors Feature points

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