{"title":"全景图像拼接使用ASIFT","authors":"Chu Bin, J. Dalin","doi":"10.1109/MINES.2012.153","DOIUrl":null,"url":null,"abstract":"This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve more accurate achievement.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Panoramic Image Stitching Using ASIFT\",\"authors\":\"Chu Bin, J. Dalin\",\"doi\":\"10.1109/MINES.2012.153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve more accurate achievement.\",\"PeriodicalId\":208089,\"journal\":{\"name\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MINES.2012.153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Multimedia Information Networking and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MINES.2012.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve more accurate achievement.