Improved SIFT algorithm for place categorization

The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed. Tradeoff between key points and processing time on feature extraction has be...

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Main Authors: Said, Yunusa Ali, Marhaban, Mohammad Hamiruce, Ahmad, Siti Anom, Ramli, Abd Rahman
Format: Conference or Workshop Item
Language:English
Published: IEEE 2015
Online Access:http://psasir.upm.edu.my/id/eprint/56097/
http://psasir.upm.edu.my/id/eprint/56097/1/Improved%20SIFT%20algorithm%20for%20place%20categorization.pdf
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author Said, Yunusa Ali
Marhaban, Mohammad Hamiruce
Ahmad, Siti Anom
Ramli, Abd Rahman
author_facet Said, Yunusa Ali
Marhaban, Mohammad Hamiruce
Ahmad, Siti Anom
Ramli, Abd Rahman
author_sort Said, Yunusa Ali
building UPM Institutional Repository
collection Online Access
description The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed. Tradeoff between key points and processing time on feature extraction has been used. Selected parameters used in the experiment demonstrated that the computational cost of SIFT in feature extraction can be reduced to half. The categorization performance techniques of the masked image achieved good accuracy of more than 80% and further experimental results on classification using nearest neighbor achieved good results. The proposed method will help to minimize computation cost in SIFT thereby, improving the performance of robotic mapping, navigation, and matching.
first_indexed 2025-11-15T10:46:47Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:46:47Z
publishDate 2015
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-560972017-07-03T09:37:01Z http://psasir.upm.edu.my/id/eprint/56097/ Improved SIFT algorithm for place categorization Said, Yunusa Ali Marhaban, Mohammad Hamiruce Ahmad, Siti Anom Ramli, Abd Rahman The main aim of this paper is an improvement of the famous Scale Invariant Feature Transform (SIFT) algorithm used in place categorization. Masking approach to reduce the computational complexity of SIFT have been proposed. Tradeoff between key points and processing time on feature extraction has been used. Selected parameters used in the experiment demonstrated that the computational cost of SIFT in feature extraction can be reduced to half. The categorization performance techniques of the masked image achieved good accuracy of more than 80% and further experimental results on classification using nearest neighbor achieved good results. The proposed method will help to minimize computation cost in SIFT thereby, improving the performance of robotic mapping, navigation, and matching. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56097/1/Improved%20SIFT%20algorithm%20for%20place%20categorization.pdf Said, Yunusa Ali and Marhaban, Mohammad Hamiruce and Ahmad, Siti Anom and Ramli, Abd Rahman (2015) Improved SIFT algorithm for place categorization. In: 10th Asian Control Conference (ASCC 2015), 31 May-3 June 2015, Kota Kinabalu, Sabah. . 10.1109/ASCC.2015.7244437
spellingShingle Said, Yunusa Ali
Marhaban, Mohammad Hamiruce
Ahmad, Siti Anom
Ramli, Abd Rahman
Improved SIFT algorithm for place categorization
title Improved SIFT algorithm for place categorization
title_full Improved SIFT algorithm for place categorization
title_fullStr Improved SIFT algorithm for place categorization
title_full_unstemmed Improved SIFT algorithm for place categorization
title_short Improved SIFT algorithm for place categorization
title_sort improved sift algorithm for place categorization
url http://psasir.upm.edu.my/id/eprint/56097/
http://psasir.upm.edu.my/id/eprint/56097/
http://psasir.upm.edu.my/id/eprint/56097/1/Improved%20SIFT%20algorithm%20for%20place%20categorization.pdf