Tongxin Xu, Youqiang Dong, Bongrae Park, Thomas Koch, Zhibo Wan
{"title":"Missing region recovery for binocular point cloud using monocular-binocular fusion.","authors":"Tongxin Xu, Youqiang Dong, Bongrae Park, Thomas Koch, Zhibo Wan","doi":"10.1364/AO.563969","DOIUrl":null,"url":null,"abstract":"<p><p>Binocular structured light technology is widely employed in high-precision 3D reconstruction due to its reliability and accuracy. However, it has inherent limitations, including partial point cloud loss resulting from limited perspectives, occlusions, and uneven illumination. To address this issue, this study proposes a monocular-binocular fusion completion framework. The approach integrates a multi-phase point cloud registration process, as well as adaptive threshold filtering and multi-step point cloud post-processing. The proposed method effectively enhances the completeness of binocular point clouds without requiring additional hardware. The feasibility of the framework is validated through theoretical analysis and empirical testing.</p>","PeriodicalId":101299,"journal":{"name":"Applied optics","volume":"64 26","pages":"7746-7754"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/AO.563969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Binocular structured light technology is widely employed in high-precision 3D reconstruction due to its reliability and accuracy. However, it has inherent limitations, including partial point cloud loss resulting from limited perspectives, occlusions, and uneven illumination. To address this issue, this study proposes a monocular-binocular fusion completion framework. The approach integrates a multi-phase point cloud registration process, as well as adaptive threshold filtering and multi-step point cloud post-processing. The proposed method effectively enhances the completeness of binocular point clouds without requiring additional hardware. The feasibility of the framework is validated through theoretical analysis and empirical testing.