{"title":"自动姿态恢复为高质量的纹理生成","authors":"Jinhui Hu, Suya You, U. Neumann","doi":"10.1109/ICPR.2006.303","DOIUrl":null,"url":null,"abstract":"This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed into an orientation and a translation, an edge error model and knowledge-based filters are used to estimate correct vanishing points with heavy trees occlusion, and the vanishing points are used for the camera calibration and orientation estimation. We propose new techniques to estimate the camera orientation with infinite vanishing points and translation with under-constraints. The final textures are generated using color calibration and blending with the recovered pose. A number of textures for outdoor buildings are automatically generated, which shows the effectiveness of our algorithms","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Automatic Pose Recovery for High-Quality Textures Generation\",\"authors\":\"Jinhui Hu, Suya You, U. Neumann\",\"doi\":\"10.1109/ICPR.2006.303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed into an orientation and a translation, an edge error model and knowledge-based filters are used to estimate correct vanishing points with heavy trees occlusion, and the vanishing points are used for the camera calibration and orientation estimation. We propose new techniques to estimate the camera orientation with infinite vanishing points and translation with under-constraints. The final textures are generated using color calibration and blending with the recovered pose. A number of textures for outdoor buildings are automatically generated, which shows the effectiveness of our algorithms\",\"PeriodicalId\":236033,\"journal\":{\"name\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2006.303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference on Pattern Recognition (ICPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2006.303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Pose Recovery for High-Quality Textures Generation
This paper proposes new techniques to generate high quality textures for urban building models by automatic camera calibration and pose recovery. The camera pose is decomposed into an orientation and a translation, an edge error model and knowledge-based filters are used to estimate correct vanishing points with heavy trees occlusion, and the vanishing points are used for the camera calibration and orientation estimation. We propose new techniques to estimate the camera orientation with infinite vanishing points and translation with under-constraints. The final textures are generated using color calibration and blending with the recovered pose. A number of textures for outdoor buildings are automatically generated, which shows the effectiveness of our algorithms