Baptiste Brument, L. Calvet, Robin Bruneau, J. Mélou, Simone Gasparini, Y. Quéau, F. Lauze, Jean-Denis Durou
{"title":"凸多面体三维重建的轮廓形方法","authors":"Baptiste Brument, L. Calvet, Robin Bruneau, J. Mélou, Simone Gasparini, Y. Quéau, F. Lauze, Jean-Denis Durou","doi":"10.1117/12.3000368","DOIUrl":null,"url":null,"abstract":"We present a pipeline to recover precisely the geometry of a convex polyhedral object from multiple views under circular motion. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images. Compared to standard structure-from-motion pipelines, the method is well suited to the 3D-reconstruction of low-textured and non-Lambertian materials. Experiments on synthetic and real datasets show the efficacy of the proposed framework.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A shape-from-silhouette method for 3D reconstruction of a convex polyhedron\",\"authors\":\"Baptiste Brument, L. Calvet, Robin Bruneau, J. Mélou, Simone Gasparini, Y. Quéau, F. Lauze, Jean-Denis Durou\",\"doi\":\"10.1117/12.3000368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a pipeline to recover precisely the geometry of a convex polyhedral object from multiple views under circular motion. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images. Compared to standard structure-from-motion pipelines, the method is well suited to the 3D-reconstruction of low-textured and non-Lambertian materials. Experiments on synthetic and real datasets show the efficacy of the proposed framework.\",\"PeriodicalId\":295011,\"journal\":{\"name\":\"International Conference on Quality Control by Artificial Vision\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Quality Control by Artificial Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3000368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Quality Control by Artificial Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3000368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A shape-from-silhouette method for 3D reconstruction of a convex polyhedron
We present a pipeline to recover precisely the geometry of a convex polyhedral object from multiple views under circular motion. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images. Compared to standard structure-from-motion pipelines, the method is well suited to the 3D-reconstruction of low-textured and non-Lambertian materials. Experiments on synthetic and real datasets show the efficacy of the proposed framework.