{"title":"基于三维高清图像视觉传达的计算机设计系统应用研究","authors":"Zimo Chen","doi":"10.1109/TOCS56154.2022.10016025","DOIUrl":null,"url":null,"abstract":"Aiming at the problems of blurred contours and incomplete overall distribution shape after 3D high-definition image registration, this paper proposes a multi-dimensional visual communication down-projection transformation image registration simulation. Matching points require the image to satisfy peripolar geometric constraints after correction. On the basis of the above, this paper uses 3D printing technology to obtain the internal structure of the image. This paper combines the stereo matching algorithm to simplify the huge visual communication image by using the grayscale of the pixel and the linear combination of its gradient as the similarity measure. Simulation experiments have fully verified the practicability and effectiveness of the method in this paper.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application Research in Computer Design System Based on 3D High-Definition Image Visual Communication\",\"authors\":\"Zimo Chen\",\"doi\":\"10.1109/TOCS56154.2022.10016025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problems of blurred contours and incomplete overall distribution shape after 3D high-definition image registration, this paper proposes a multi-dimensional visual communication down-projection transformation image registration simulation. Matching points require the image to satisfy peripolar geometric constraints after correction. On the basis of the above, this paper uses 3D printing technology to obtain the internal structure of the image. This paper combines the stereo matching algorithm to simplify the huge visual communication image by using the grayscale of the pixel and the linear combination of its gradient as the similarity measure. Simulation experiments have fully verified the practicability and effectiveness of the method in this paper.\",\"PeriodicalId\":227449,\"journal\":{\"name\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS56154.2022.10016025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS56154.2022.10016025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Research in Computer Design System Based on 3D High-Definition Image Visual Communication
Aiming at the problems of blurred contours and incomplete overall distribution shape after 3D high-definition image registration, this paper proposes a multi-dimensional visual communication down-projection transformation image registration simulation. Matching points require the image to satisfy peripolar geometric constraints after correction. On the basis of the above, this paper uses 3D printing technology to obtain the internal structure of the image. This paper combines the stereo matching algorithm to simplify the huge visual communication image by using the grayscale of the pixel and the linear combination of its gradient as the similarity measure. Simulation experiments have fully verified the practicability and effectiveness of the method in this paper.