The Effect of Rainfall on Feature Points Extraction and Image Stitching

Wai Chong Chia, Lee Seng Yeong, Sue Inn Ch'ng, Kah Phooi Seng, Li-Minn Ang

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

The aim of this paper is to investigate the effects of rainfall on image stitching by measuring the performance of the Harris corner detector, Scale-Invariant Feature Transform (SIFT) detector, and the Speeded Up Robust Feature (SURF) detector. A set of images were captured by using two cameras during light rain and during heavy rain. The number of detected features points was used as the performance measure. The results indicate that all the detectors are capable to extract a substantial amount of feature points. However, the rainfall does reduce the number of detected feature points by 48 and 67% when the Harris corner detector and the SURF detector were adopted respectively. At the end, the images were stitched together based on the feature points extracted by using the Harris corner detector. The results indicate that the effect of rainfall is negligible as long as there is a substantial amount of distinctive feature points.
Original languageEnglish
Title of host publicationProceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering
Subtitle of host publicationISEEE 2014
EditorsXiaohong Jiang, Shaozi Li, Ying Dai, Yun Cheng
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1382-1386
Number of pages5
ISBN (Print)9781479931965
DOIs
Publication statusPublished - 06 Nov 2014
EventInternational Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014 - Sapporo Prince Hotel, Sapporo City, Hokkaido, Japan
Duration: 26 Apr 201428 Apr 2014
https://web.archive.org/web/20140319233736/http://www.iseee.org:80/index.asp (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6917613 (Conference proceedings)

Conference

ConferenceInternational Conference on Information Science, Electronics and Electrical Engineering
CountryJapan
City Sapporo City, Hokkaido
Period26/04/1428/04/14
Other2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE 2014) will be held from April 26-28, 2014, Sapporo City, Hokkaido, Japan.

ISEEE 2014 is sponsored by IEEE Sapporo Section, Japan, Xiamen University, and Co-sponsored by Future University Hakodate, Japan, Iwate Prefectural University, Japan, University of Hull, UK, Xiamen University, China, Guangzhou University, China.

Original papers are invited and submitted papers should not be previously published or currently under review for any other publication. All papers accepted will be published in the conference proceedings (ISBN: 978-1-4799-3196-5).
Internet address

Cite this

Chia, W. C., Yeong, L. S., Ch'ng, S. I., Seng, K. P., & Ang, L-M. (2014). The Effect of Rainfall on Feature Points Extraction and Image Stitching. In X. Jiang, S. Li, Y. Dai, & Y. Cheng (Eds.), Proceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014 (pp. 1382-1386). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/InfoSEEE.2014.6946146
Chia, Wai Chong ; Yeong, Lee Seng ; Ch'ng, Sue Inn ; Seng, Kah Phooi ; Ang, Li-Minn. / The Effect of Rainfall on Feature Points Extraction and Image Stitching. Proceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014. editor / Xiaohong Jiang ; Shaozi Li ; Ying Dai ; Yun Cheng. United States : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 1382-1386
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abstract = "The aim of this paper is to investigate the effects of rainfall on image stitching by measuring the performance of the Harris corner detector, Scale-Invariant Feature Transform (SIFT) detector, and the Speeded Up Robust Feature (SURF) detector. A set of images were captured by using two cameras during light rain and during heavy rain. The number of detected features points was used as the performance measure. The results indicate that all the detectors are capable to extract a substantial amount of feature points. However, the rainfall does reduce the number of detected feature points by 48 and 67{\%} when the Harris corner detector and the SURF detector were adopted respectively. At the end, the images were stitched together based on the feature points extracted by using the Harris corner detector. The results indicate that the effect of rainfall is negligible as long as there is a substantial amount of distinctive feature points.",
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Chia, WC, Yeong, LS, Ch'ng, SI, Seng, KP & Ang, L-M 2014, The Effect of Rainfall on Feature Points Extraction and Image Stitching. in X Jiang, S Li, Y Dai & Y Cheng (eds), Proceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1382-1386, International Conference on Information Science, Electronics and Electrical Engineering, Sapporo City, Hokkaido, Japan, 26/04/14. https://doi.org/10.1109/InfoSEEE.2014.6946146

The Effect of Rainfall on Feature Points Extraction and Image Stitching. / Chia, Wai Chong; Yeong, Lee Seng; Ch'ng, Sue Inn; Seng, Kah Phooi; Ang, Li-Minn.

Proceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014. ed. / Xiaohong Jiang; Shaozi Li; Ying Dai; Yun Cheng. United States : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 1382-1386.

Research output: Book chapter/Published conference paperConference paper

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PY - 2014/11/6

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N2 - The aim of this paper is to investigate the effects of rainfall on image stitching by measuring the performance of the Harris corner detector, Scale-Invariant Feature Transform (SIFT) detector, and the Speeded Up Robust Feature (SURF) detector. A set of images were captured by using two cameras during light rain and during heavy rain. The number of detected features points was used as the performance measure. The results indicate that all the detectors are capable to extract a substantial amount of feature points. However, the rainfall does reduce the number of detected feature points by 48 and 67% when the Harris corner detector and the SURF detector were adopted respectively. At the end, the images were stitched together based on the feature points extracted by using the Harris corner detector. The results indicate that the effect of rainfall is negligible as long as there is a substantial amount of distinctive feature points.

AB - The aim of this paper is to investigate the effects of rainfall on image stitching by measuring the performance of the Harris corner detector, Scale-Invariant Feature Transform (SIFT) detector, and the Speeded Up Robust Feature (SURF) detector. A set of images were captured by using two cameras during light rain and during heavy rain. The number of detected features points was used as the performance measure. The results indicate that all the detectors are capable to extract a substantial amount of feature points. However, the rainfall does reduce the number of detected feature points by 48 and 67% when the Harris corner detector and the SURF detector were adopted respectively. At the end, the images were stitched together based on the feature points extracted by using the Harris corner detector. The results indicate that the effect of rainfall is negligible as long as there is a substantial amount of distinctive feature points.

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

ER -

Chia WC, Yeong LS, Ch'ng SI, Seng KP, Ang L-M. The Effect of Rainfall on Feature Points Extraction and Image Stitching. In Jiang X, Li S, Dai Y, Cheng Y, editors, Proceedings 2014 International Conference on Information Science, Electronics and Electrical Engineering: ISEEE 2014. United States: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 1382-1386 https://doi.org/10.1109/InfoSEEE.2014.6946146