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非线性相机模型对AR系统注册精度的改进
引用本文:丁伟奇,吴家麒,袁政鹏,陈金波.非线性相机模型对AR系统注册精度的改进[J].上海大学学报(自然科学版),2006,12(4):366-370.
作者姓名:丁伟奇  吴家麒  袁政鹏  陈金波
作者单位:上海大学,机电工程与自动化学院,上海,200072
基金项目:国家高技术研究发展计划(863计划);上海市科委资助项目
摘    要:注册是AR系统成功的关键技术之一.最近提出的采用基本矩阵的注册算法,不需要辅助的定位器材,也不需要人工标志物,易于执行,适应范围广,但注册精度有待改进.通过Tsai算法引入了非线性相机模型,对原有图像进行畸变校正,然后用基于基本矩阵的注册算法采用校正后的特征点进行计算.从实验所获得的结果来看,这种方法可以获得较原注册算法更好的精度.

关 键 词:增强现实  注册方法  Tsai算法
文章编号:1007-2861(2006)04-0366-05
收稿时间:2005-09-06
修稿时间:2005年9月6日

Improvement of AR Registration Accuracy with a Non-linear Camera Model
DING Wei-qi,WU Jia-qi,YUAN Zheng-peng,CHEN Jin-bo.Improvement of AR Registration Accuracy with a Non-linear Camera Model[J].Journal of Shanghai University(Natural Science),2006,12(4):366-370.
Authors:DING Wei-qi  WU Jia-qi  YUAN Zheng-peng  CHEN Jin-bo
Affiliation:School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China
Abstract:Registration is a key technique in an augmented reality(AR) system.A recent registration method based on fundamental matrix does not need auxiliary instruments and man-made markers,therefore is easily implemented and widely adaptable.However its registration accuracy needs improvement.In this paper the Tsai algorithm is used to introduce a non-linear camera model and correct distortion in the image feature points.The corrected feature points are then applied to the registration method based on a fundamental matrix.Experimental results show that the new registration technique provides better accuracy than the original method.
Keywords:augmented reality  registration method  Tsai algorithm
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