CAJ | 학술논문

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.
제출일충기우다폭미표정도상적삼유중건산법.재표기점필배적기출상진행사영중건,통과시가도량약속장사영중건승급위구씨중건,즉이용미표정적투시도상회복상궤적내、외부삼수이급표기점적삼유공간좌표,실현장경적삼유중건.표기점역우진행점대정학필배,교수동습취필배제고료효솔.실험결과표명,이용해산법능구대폭감소재투영오차.
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.