Affine versus projective transformation for SIFT and RANSAC image matching methods
Edge detection; Image matching; Mathematical transformations; Affine transformations; Projective transformation; RANSAC; SIFT; SURF; Image processing
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-228382023-05-29T14:12:36Z Affine versus projective transformation for SIFT and RANSAC image matching methods Redzuwan R. Radzi N.A.M. Din N.M. Mustafa I.S. 55812639200 57218936786 9335429400 26967833900 Edge detection; Image matching; Mathematical transformations; Affine transformations; Projective transformation; RANSAC; SIFT; SURF; Image processing Image registration is a process of determining the geometrical transformation that aligns two or more images taken from different viewpoints and sensors at different times. Scale Invariant Feature Transform (SIFT) method has gained more popularity since it extracts the highest number of features and matching points compared to Speeded-Up Robust Feature (SURF) and Harris Corner Detector at little computational cost. In this paper, a combination of SIFT and Random Sample Consensus (RANSAC) is used to produce panoramic image. In order to reject outliers and estimate the transformation model, affine and projective transformations are used to study the best geometrical transformations methods to be used. The results shows that the projective transformation has a better performance in terms of accuracy. � 2015 IEEE. Final 2023-05-29T06:12:36Z 2023-05-29T06:12:36Z 2016 Conference Paper 10.1109/ICSIPA.2015.7412233 2-s2.0-84971643944 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971643944&doi=10.1109%2fICSIPA.2015.7412233&partnerID=40&md5=5ea1846fc3b1d169b766cf23f1caa6e9 https://irepository.uniten.edu.my/handle/123456789/22838 7412233 447 451 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Edge detection; Image matching; Mathematical transformations; Affine transformations; Projective transformation; RANSAC; SIFT; SURF; Image processing |
| author2 |
55812639200 |
| author_facet |
55812639200 Redzuwan R. Radzi N.A.M. Din N.M. Mustafa I.S. |
| format |
Conference Paper |
| author |
Redzuwan R. Radzi N.A.M. Din N.M. Mustafa I.S. |
| spellingShingle |
Redzuwan R. Radzi N.A.M. Din N.M. Mustafa I.S. Affine versus projective transformation for SIFT and RANSAC image matching methods |
| author_sort |
Redzuwan R. |
| title |
Affine versus projective transformation for SIFT and RANSAC image matching methods |
| title_short |
Affine versus projective transformation for SIFT and RANSAC image matching methods |
| title_full |
Affine versus projective transformation for SIFT and RANSAC image matching methods |
| title_fullStr |
Affine versus projective transformation for SIFT and RANSAC image matching methods |
| title_full_unstemmed |
Affine versus projective transformation for SIFT and RANSAC image matching methods |
| title_sort |
affine versus projective transformation for sift and ransac image matching methods |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806425545392521216 |
| score |
13.214268 |