一种基于自然纹理特征的增强现实跟踪算法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (10): 2480-2484.

一种基于自然纹理特征的增强现实跟踪算法

康波, 任鹏

电子科技大学自动化工程学院, 四川, 成都, 610054

收稿日期:2008-08-12 修回日期:2009-02-28 出版日期:2009-10-20 发布日期:2010-01-03
作者简介:康波(1968- ),男,副教授,博士,主要研究方向为增强现实、人机交互.E-mail:kangbo@uestc.edu.cn
基金资助:
国家自然科学基金(60674077)资助课题

Natural texture-based tracking algorithm for augmented reality

KANG Bo, REN Peng

School of Automation Engineering, Univ. of Electronic and Science Technology of China, Chengdu 610054, China

Received:2008-08-12 Revised:2009-02-28 Online:2009-10-20 Published:2010-01-03

摘要/Abstract

摘要： 给出了一种面向增强现实(augmented reality,AR)的基于自然纹理特征的实时跟踪算法,算法分为目标检测与跟踪两个过程.以真实场景中的目标物体的表面纹理图像作为模板,用基于朴素贝叶斯分类的宽基线匹配方法进行目标检测与方位参数估计;将分层L-K光流算法与鲁棒的IC算法结合,提出一种基于角点与纹理的混合跟踪算法,并用于其跟踪过程.实验结果表明,所提算法具有较好的实时性、准确性与鲁棒性,并解决了宽基线匹配算法在AR应用中出现的抖动现象.

Abstract: A natural texture-based real-time tracking approach to augmented reality is presented,which includes detecting procedure and tracking procedure.Giving a texture image template of the object in real scene,the object detecting and pose estimate are achieved by using a wide baseline matching approach based on a naive Bayesian classifer.Combining a hierarchical L-K optical flow algorithm and a robust inverse compositional algorithm,a tracking algorithm based on corner amd texture features is proposed,which is applied in the tracking procedure above.Experiment results demonstrate that the presented approach is faster,more accurate and robust,and can avoid the jitter of wide baseline matching in AR application.

中图分类号:

TP391.4

康波, 任鹏. 一种基于自然纹理特征的增强现实跟踪算法[J]. Journal of Systems Engineering and Electronics, 2009, 31(10): 2480-2484.

KANG Bo, REN Peng. Natural texture-based tracking algorithm for augmented reality[J]. Journal of Systems Engineering and Electronics, 2009, 31(10): 2480-2484.

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