Article(id=1242132421223719792, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242132405067264043, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2014.24.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1382457600000, receivedDateStr=2013-10-23, revisedDate=1401206400000, revisedDateStr=2014-05-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1409128492610, onlineDateStr=2014-08-27, pubDate=1409155200000, pubDateStr=2014-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1409128492610, onlineIssueDateStr=2014-08-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077046918, creator=sys-migrate, updateTime=1774077046918, updator=sys-migrate, issue=Issue{id=1242132405067264043, tenantId=1146029695717560320, journalId=1146031591421210625, year='2014', volume='32', issue='24', pageStart='1', pageEnd='95', issueExtLink='null', onlineDate='null', pubDate='1409155200000', pubDateStr='2014-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077043069, creator='sys-migrate', updateTime=1774077043069, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=64, endPage=67, ext={EN=ArticleExt(id=1242132424881156213, articleId=1242132421223719792, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Calibration of a Line Structured Light Vision Measuring System Based on the Drawing Method, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The line structured light vision measurement technology is widely used as a non-contact measurement technology. This paper proposes a method for structured light vision measurement calibration based on the drawing method by analyzing the mathematical model of the visual measurement sensor and using the feature point constructed on the light plane. This method has simple process and reduces the cost of calibration equipment, laying the foundation for line structured light engineering application. The calibration results show that the method meets the measurement requirements., authors=CUI Ximin, LI Cong, YUAN Debao, HONG Xueqian, ZHAO Yi, authorsList=CUI Ximin, LI Cong, YUAN Debao, HONG Xueqian, ZHAO Yi, authorCompany=College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=C605BzHFcI920ZxG0aytEg==, pdfFileSize=1304127, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242132422498788220, articleId=1242132421223719792, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于拉丝法的线结构光视觉测量系统标定, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=利用线结构光视觉非接触测量技术的大量程、大视场、高精度、光纹信息提取简单等优点进行非接触测量大型机器及轨道等。分析了线结构光视觉测量传感器数学模型，利用构建的位于光平面上的标定特征点，提出了一种基于拉丝法的线结构光视觉测量标定方法，即先标定传感器相机的内外参数，再利用激光线与铁丝相交形成的点作为特征点标定光平面在相机坐标系下的方程。该方法降低了标定设备的成本，过程简单。标定结果表明：该方法标定满足测量要求。, authors=崔希民, 李聪, 袁德宝, 洪雪倩, 赵毅, authorsList=崔希民, 李聪, 袁德宝, 洪雪倩, 赵毅, authorCompany=中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083, correspAuthors=null, authorNote=崔希民，博士，研究方向为GPS卫星导航和定位、形变突害监测与数据处理、三维工业测量、3S集成与应用，电子信箱：cxm@cumtb.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=DHruP8c9i46c4BK5kzsi4A==, pdfFileSize=1304127, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（41071328）)}, 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