Yalan Li, Jianquan Huang, Fuming Deng, Ruhua Lu, Min Yao
{"title":"基于SIFT和DAISY描述符的图像拼接算法","authors":"Yalan Li, Jianquan Huang, Fuming Deng, Ruhua Lu, Min Yao","doi":"10.1109/ICDSBA51020.2020.00077","DOIUrl":null,"url":null,"abstract":"Correspondences matching is essential to image stitching and greatly influences the stitching quality as the homography matrix is calculated from the correspondences. Mismatching would be generated by using SIFT alone when dealing images with repeat similar structures. To improve the matching accuracy, SIFT and DAISY are combined to extract and match feature points. Then the homography matrix is computed by least square, RANSAC and bundle adjust methods. Experiments show that the matching accuracy is improved and the stitching results are well and robust.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Image Stitching Algorithm Based on SIFT and DAISY Descriptor\",\"authors\":\"Yalan Li, Jianquan Huang, Fuming Deng, Ruhua Lu, Min Yao\",\"doi\":\"10.1109/ICDSBA51020.2020.00077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Correspondences matching is essential to image stitching and greatly influences the stitching quality as the homography matrix is calculated from the correspondences. Mismatching would be generated by using SIFT alone when dealing images with repeat similar structures. To improve the matching accuracy, SIFT and DAISY are combined to extract and match feature points. Then the homography matrix is computed by least square, RANSAC and bundle adjust methods. Experiments show that the matching accuracy is improved and the stitching results are well and robust.\",\"PeriodicalId\":354742,\"journal\":{\"name\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA51020.2020.00077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Image Stitching Algorithm Based on SIFT and DAISY Descriptor
Correspondences matching is essential to image stitching and greatly influences the stitching quality as the homography matrix is calculated from the correspondences. Mismatching would be generated by using SIFT alone when dealing images with repeat similar structures. To improve the matching accuracy, SIFT and DAISY are combined to extract and match feature points. Then the homography matrix is computed by least square, RANSAC and bundle adjust methods. Experiments show that the matching accuracy is improved and the stitching results are well and robust.
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