基于未标定图像的三维重建算法  

3D Reconstruction Algorithm Based on Uncalibrated Images

作　　者：谷月霞[1] 张维忠[2] 王晓燕[2] 油世明[2] 王静[2] 

机构地区：[1]聊城职业技术学院计算机系,聊城252000 [2]青岛大学信息工程学院,青岛266071

出　　处：《计算机工程》2010年第8期214-216,共3页Computer Engineering

基　　金：山东省教育厅科研计划基金资助项目(J07YJ19-2);青岛市科技发展计划基金资助项目(08-1-3-5-jch)

摘　　要：提出一种基于多幅未标定图像的三维重建算法。在标记点匹配的基础上进行射影重建,通过施加度量约束将射影重建升级为欧氏重建,即利用未标定的透视图像恢复相机的内、外部参数以及标记点的三维空间坐标,实现场景的三维重建。标记点易于进行点对精确匹配,较手动拾取匹配提高了效率。实验结果表明,利用该算法能够大幅减小再投影误差。This paper presents a 3D reconstruction algorithm based on uncalibrated images.The projective reconstruction is performed based on the reference points matching between the different uncalibrated images.The projective reconstruction is updated as the Euclidean reconstruction by using metric restriction.The camera intrinsic parameters,Euclidean motion and shape are recovered by uncalibrated images.Compared with previous methods,the operation efficiency is improved since the manual matching between different uncalibrated images is not involved by automatic reference point matching.Experimental results show that the reprojection error is remarkably reduced by the presented algorithm.

关 键 词：未标定图像 分解方法 三维重建 再投影误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]