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手持数码相机获取场景三维点云的实现
引用本文:马牧运,张爱武,王书民,崔营营.手持数码相机获取场景三维点云的实现[J].光学与光电技术,2011,9(3):64-66,75.
作者姓名:马牧运  张爱武  王书民  崔营营
作者单位:1. 首都师范大学三维信息获取与应用教育部重点实验室,北京,100048
2. 首都师范大学三维信息获取与应用教育部重点实验室,北京100048;首都师范大学空间信息技术教育部工程研究中心,北京100048
3. 首都师范大学空间信息技术教育部工程研究中心,北京,100048
基金项目:教育部新世纪优秀人才支持计划资助;粮食科技支撑计划项目
摘    要:利用计算机视觉进行三维点云获取是一种实用方便的三维信息提取方法,在工业检测和三维建模等领域应用广泛.鉴于传统固定相机方法中存在着灵活性差,适用范围小的问题,提出了一种手持单相机的三维点云获取方法.实验结果表明,该方法在室外场景点云获取应用中较传统方法在灵活性方面具有非常明显的优势.

关 键 词:计算机视觉  对极约束  SIFT匹配  本征矩阵

Realization of 3D Points Cloud with a Handheld Camera
MA Mu-yun,ZHANG Ai-wu,WANG Shu-min,CUI Ying-ying.Realization of 3D Points Cloud with a Handheld Camera[J].optics&optoelectronic technology,2011,9(3):64-66,75.
Authors:MA Mu-yun  ZHANG Ai-wu  WANG Shu-min  CUI Ying-ying
Institution:1 Key Laboratory of 3D Information Acquisition and Application-Ministry of Education,Capital Normal University,Beijing 100048,China; 2 Engineering Research Center of Spatial Information Technology-Ministry of Education,Capital Normal University,Beijing 100048,China)
Abstract:Acquiring 3D points cloud using computer vision principle is a practical and convenient way to get three-dimensional information.This technology is widely used in industrial detection,3D modeling,and robot navigation etc.The traditional method needs that the two cameras are fixed thus have bad flexibility and a small visual field.The new method brought up here can fulfill the job with only one camera on condition that the accuracy is relaxed.Empirical data shows that it has a great advantage compared with the traditional one in terms of flexibility.
Keywords:computer vision  epipolar constraint  SIFT match  essential matrix
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