{"title":"一种有效的模糊不变量兴趣点检测器","authors":"Jin Xie, Zixing Cai","doi":"10.1109/ICVRV.2013.54","DOIUrl":null,"url":null,"abstract":"In order to extract interest point under some object deformations, such as image blur, geometric deformation et al., an invariant interest point detector based on Gabor multi scale-space was proposed. Firstly, build the Gabor multi scale-space representation by smoothing the image with a series of Gabor filters, secondly, detect the interest points by searching maximum response in the Gabor multi scale-space and determine the characteristic scale directly, finally, describe the local structure of interest point. The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.","PeriodicalId":179465,"journal":{"name":"2013 International Conference on Virtual Reality and Visualization","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Effective Blur Invariant Interest Point Detector\",\"authors\":\"Jin Xie, Zixing Cai\",\"doi\":\"10.1109/ICVRV.2013.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to extract interest point under some object deformations, such as image blur, geometric deformation et al., an invariant interest point detector based on Gabor multi scale-space was proposed. Firstly, build the Gabor multi scale-space representation by smoothing the image with a series of Gabor filters, secondly, detect the interest points by searching maximum response in the Gabor multi scale-space and determine the characteristic scale directly, finally, describe the local structure of interest point. The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.\",\"PeriodicalId\":179465,\"journal\":{\"name\":\"2013 International Conference on Virtual Reality and Visualization\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Virtual Reality and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRV.2013.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Virtual Reality and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2013.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Effective Blur Invariant Interest Point Detector
In order to extract interest point under some object deformations, such as image blur, geometric deformation et al., an invariant interest point detector based on Gabor multi scale-space was proposed. Firstly, build the Gabor multi scale-space representation by smoothing the image with a series of Gabor filters, secondly, detect the interest points by searching maximum response in the Gabor multi scale-space and determine the characteristic scale directly, finally, describe the local structure of interest point. The experimental data demonstrate that the proposed detector obtains the best performance under image blur in terms of repeatability and matching score.