Robust weighted Keypoint matching algorithm for image retrieval
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Da-Mi | - |
dc.contributor.author | Kim, Ji-Hae | - |
dc.contributor.author | Lee, Young-Woon | - |
dc.contributor.author | Kim, Byung-Gyu | - |
dc.date.available | 2021-02-22T07:46:16Z | - |
dc.date.issued | 2018-12 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/4131 | - |
dc.description.abstract | The important factor which controls the accuracy of image matching process is a keypoint extraction. This paper describes a new weighted keypoint matching algorithm for improving the performance of image retrieval. The basic concept is to use the edge information. First, we compute the Scale Invariant Feature Transform (SIFT) features as keypoints from an input image. Also, the edge image is obtained for updating the ranking of the extracted keypoints. With the obtained edge map, we assign weights to keypoints where they correspond on the edge map. Finally the ranking of keypoints is re-ordered and Top-32 keypoints are selected based on the RootSIFT to matching process. Through the experiments, we verify that the proposed algorithm achieves 2.4% of more accuracy than the original SIFT detector when various distortions exist. | - |
dc.format.extent | 5 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Robust weighted Keypoint matching algorithm for image retrieval | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1145/3301506.3301513 | - |
dc.identifier.scopusid | 2-s2.0-85064506544 | - |
dc.identifier.bibliographicCitation | ACM International Conference Proceeding Series, pp 145 - 149 | - |
dc.citation.title | ACM International Conference Proceeding Series | - |
dc.citation.startPage | 145 | - |
dc.citation.endPage | 149 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Extraction | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.subject.keywordPlus | Image enhancement | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Video signal processing | - |
dc.subject.keywordPlus | Basic concepts | - |
dc.subject.keywordPlus | Edge image | - |
dc.subject.keywordPlus | Edge information | - |
dc.subject.keywordPlus | Input image | - |
dc.subject.keywordPlus | Key point matching | - |
dc.subject.keywordPlus | Keypoint | - |
dc.subject.keywordPlus | Matching process | - |
dc.subject.keywordPlus | Scale invariant feature transforms | - |
dc.subject.keywordPlus | Image retrieval | - |
dc.subject.keywordAuthor | Edge information | - |
dc.subject.keywordAuthor | Image retrieval | - |
dc.subject.keywordAuthor | Keypoint extraction | - |
dc.subject.keywordAuthor | Keypoint matching | - |
dc.subject.keywordAuthor | Robust keypoint | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3301506.3301513 | - |
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