Conference paper
The effect of rainfall on feature points extraction and image stitching
Proceedings of the 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014, Vol.3, pp.1382-1386
International Conference on Information Science, Electronics and Electrical Engineering, 2014 (Sapporo, Japan, 26-Apr-2014–28-Apr-2014)
Institute of Electrical and Electronics Engineers
2014
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.
Details
- Title
- The effect of rainfall on feature points extraction and image stitching
- Authors
- Wai Chong Chia (Author) - Sunway UniversityLee Seng Yeong (Author) - Sunway UniversitySue Inn Ch'ng (Author) - Sunway UniversityKah Phooi Seng (Author) - Edith Cowan UniversityLi-Minn Ang (Author) - Edith Cowan University
- Contributors
- Xiaohong Jiang (Editor)Xiamen da Xue (Contributor)
- Publication details
- Proceedings of the 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014, Vol.3, pp.1382-1386
- Conference details
- International Conference on Information Science, Electronics and Electrical Engineering, 2014 (Sapporo, Japan, 26-Apr-2014–28-Apr-2014)
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2014
- DOI
- 10.1109/InfoSEEE.2014.6946146; 10.1109/ISEEE33066.2014
- ISBN
- 9781479931972
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513788502621
- Output Type
- Conference paper
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