Xiaolu Li, Tao He, Lijun Xu, Lulu Chen, Zhanshe Guo
{"title":"基于射影几何的红外图像射影校正","authors":"Xiaolu Li, Tao He, Lijun Xu, Lulu Chen, Zhanshe Guo","doi":"10.1109/IST.2012.6295549","DOIUrl":null,"url":null,"abstract":"Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Projective rectification of infrared image based on projective geometry\",\"authors\":\"Xiaolu Li, Tao He, Lijun Xu, Lulu Chen, Zhanshe Guo\",\"doi\":\"10.1109/IST.2012.6295549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.\",\"PeriodicalId\":213330,\"journal\":{\"name\":\"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IST.2012.6295549\",\"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 IEEE International Conference on Imaging Systems and Techniques Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST.2012.6295549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Projective rectification of infrared image based on projective geometry
Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.