一种利用SURF特征自标定相机焦距的方法  

Camera focal length self-calibration using SURF characteristics

作　　者：吴文欢[1] 高景菊[1] 王永亮[2] 

机构地区：[1]周口师范学院计算机科学与技术学院,河南周口466001 [2]郑州大学信息网络重点实验室,河南郑州450001

出　　处：《周口师范学院学报》2012年第5期101-103,共3页Journal of Zhoukou Normal University

基　　金：国家自然科学基金(No.60973096);航空科学基金(No.2010ZC56007);周口师范学院青年科研基金资助项目(No.2012QN04)

摘　　要：鉴于SURF算法能快速而稳定地提取图像特征,提出一种基于SURF特征进行快速标定相机焦距的方法.相机模型采用单参数模型(即只有焦距未知),先使用SURF算法得到图像匹配点对,这些匹配点对用于计算基础矩阵,然后根据Kruppa方程推导出一个二次方程,进而求解出焦距.实验结果验证了此方法的有效性和正确性.In view of the fact that SURF algorithm can rapidly and stably extract image characteristics, a method for camera focal length self - calibration based on SURF characteristics was proposed in this paper. The single parameter model was adopted as for camera model, that is, the focal length was not determined only. Firstly the matched- point sets were calculated by SURF algorithm to calculate fundamental matrix. Secondly a quadratic equation was educed according to the Kruppa equation, and then the focal length can be solved. The experimental results validated the validity and correctness of this method.

关 键 词：SURF 基础矩阵 KRUPPA方程 自标定焦距 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]