基于错配剔除的三维重建研究  

3D Scene Reconstruction Based on Mismatching Eliminating Algorithm

作　　者：林丽萍[1] 张亚萍[1] 

机构地区：[1]云南师范大学信息学院,云南昆明650500

出　　处：《系统仿真学报》2017年第11期2644-2648,共5页Journal of System Simulation

基　　金：国家自然科学基金(61262070;61462097)

摘　　要：针对基于SIFT(Scale-invariant feature transform)算法的特征检测与匹配存在错误匹配的情况,采用了随机抽样一致性算法对错配点对进行剔除,通过有针对性地对待所有输入数据,创建一个目标函数,使用迭代算法估计出该目标函数的参数,依据所估计出的参数把所有的数据分为两种,保留满足估计参数的所有点,剔除不满足估计参数的所有点,再在全部的满足估计参数的点中重新估计出函数的参数。实验结果表明,该方法可有效剔除三维模型中的误匹配点。For the case of mismatching in feature detection and matching based on SIFT algorithm, a method based on RANSAC is proposed in this paper to eliminate false matches. RANSAC treats all input data differently. An objective function is created and its parameters are estimated by iterative algorithm. All the data are divided into two categories based on the estimated parameters and the points that satisfy the estimated parameters are reserved and the points which do not satisfy the estimated parameters are eliminated. And then the function parameters are re-estimated with all the satisfied points. Experiment results show that this method can effectively eliminate the mismatching points in the 3D model.

关 键 词：三维重建 错配剔除 随机抽样一致性算法 估计参数 

分 类 号：TP391.72[自动化与计算机技术—计算机应用技术]