Junho Jeon, Yeongyu Jung, Haejoon Kim, Seungyong Lee
{"title":"大规模三维重构场景的纹理贴图生成","authors":"Junho Jeon, Yeongyu Jung, Haejoon Kim, Seungyong Lee","doi":"10.1145/2945078.2945147","DOIUrl":null,"url":null,"abstract":"Nowadays RGB-D cameras, such as Microsoft Kinect, have become widely available. Various researches on 3D reconstruction based on RGB-D images have enabled 3D navigation of a scene by rendering the reconstructed 3D model from desirable viewpoints. However, these reconstructed 3D models are not yet popularly used in applications due to the lack of accurate color information.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Texture map generation for large-scale 3D reconstructed scenes\",\"authors\":\"Junho Jeon, Yeongyu Jung, Haejoon Kim, Seungyong Lee\",\"doi\":\"10.1145/2945078.2945147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays RGB-D cameras, such as Microsoft Kinect, have become widely available. Various researches on 3D reconstruction based on RGB-D images have enabled 3D navigation of a scene by rendering the reconstructed 3D model from desirable viewpoints. However, these reconstructed 3D models are not yet popularly used in applications due to the lack of accurate color information.\",\"PeriodicalId\":417667,\"journal\":{\"name\":\"ACM SIGGRAPH 2016 Posters\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2016 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2945078.2945147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Texture map generation for large-scale 3D reconstructed scenes
Nowadays RGB-D cameras, such as Microsoft Kinect, have become widely available. Various researches on 3D reconstruction based on RGB-D images have enabled 3D navigation of a scene by rendering the reconstructed 3D model from desirable viewpoints. However, these reconstructed 3D models are not yet popularly used in applications due to the lack of accurate color information.