基于多幅未标定图像的三维度量重构  

3D Metric Reconstruction from Multiple Uncalibrated Images

作　　者：杨敏[1] 

机构地区：[1]南京邮电大学自动化学院,江苏南京210003

出　　处：《南京邮电学院学报（自然科学版）》2005年第6期22-26,共5页Journal of Nanjing University of Posts and Telecommunications

基　　金：江苏省高校自然科学研究指导性计划(05KJD520152)资助项目

摘　　要：提出了一种基于多幅未标定图像,恢复场景三维几何的优化矩阵分解算法,该算法先通过迭代逼近得到射影重构,然后通过估计绝对二次曲面,将射影重构更新到度量重构。采用真实图像测试,获得好的实验结果,说明该方法简单易用。In this paper, an optimized factorization method for recovering the 3D geometry of a scene from multiple uncalibrated images is presented. The method first performs a projective reconstruction using an iterative approach, and then converts the projective solution to a metric structure by estimating the absolute quadric. Real images have been used to test the proposed method and good results have been obtained. It has been demonstrated that the proposed method is easy to use.

关 键 词：射影重构 度量重构 矩阵分解算法 绝对二次曲面 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]