{"title":"基于多层感知机的金属表面光度-结构光测量数据融合方法","authors":"杨沅松 Yang Yuansong, 王晰 Wang Xi, 任明俊 Ren Mingjun","doi":"10.3788/aos230497","DOIUrl":null,"url":null,"abstract":"提出一种基于多层感知机的金属表面光度-结构光测量数据融合算法。设计了融合面结构光与光度立体视觉两种测量原理的复合传感器，分别获得同一相机坐标系下的缺失点云及完整法向量多模态数据。为有效融合两种数据，设计了基于位置编码的多层感知机网络，以点云为形状约束，以法向量为纹理约束，实现金属表面完整的高精度三维重建。通过仿真和实验验证了所提方法的有效性。实验结果表明：该方法有效避免了法向量积分累计误差的问题，在获取完整点云的同时，测量精度相较于结构光测量系统提升了50.4%。","PeriodicalId":7103,"journal":{"name":"光学学报","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"基于多层感知机的金属表面光度-结构光测量数据融合方法\",\"authors\":\"杨沅松 Yang Yuansong, 王晰 Wang Xi, 任明俊 Ren Mingjun\",\"doi\":\"10.3788/aos230497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"提出一种基于多层感知机的金属表面光度-结构光测量数据融合算法。设计了融合面结构光与光度立体视觉两种测量原理的复合传感器，分别获得同一相机坐标系下的缺失点云及完整法向量多模态数据。为有效融合两种数据，设计了基于位置编码的多层感知机网络，以点云为形状约束，以法向量为纹理约束，实现金属表面完整的高精度三维重建。通过仿真和实验验证了所提方法的有效性。实验结果表明：该方法有效避免了法向量积分累计误差的问题，在获取完整点云的同时，测量精度相较于结构光测量系统提升了50.4%。\",\"PeriodicalId\":7103,\"journal\":{\"name\":\"光学学报\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"光学学报\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3788/aos230497\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"光学学报","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3788/aos230497","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
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Researching is owned by Chinese Laser Press (CLP), which is established by Shanghai Institute of Optics and Fine Mechanics and Chinese Optical Society in 2009. Nowadays, CLP publishes 11 journals and manages three online platforms. Journal publishing activities include both traditional and digital models, and the first journal can be traced back to 1964. The CLP Online Library includes the CLP journals and partnered ones in China, and provides literature and intelligence services for users. The product platform, named as OEShow, connects sellers and buyers of optoelectronics products. Researching (formerly known as The CLP Publishing) is featured with stable operation and leading technology, collects CLP journals and partnered optics and photonics journals, and provides readers an optical publishing platform with global influence. CLP is on the way of building a modern publishing group combining traditional business and digital publishing.
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