摘要
针对移动设备上现有注册算法速度较慢和实时性较弱的问题,提出一种基于ORB和KLT的移动增强现实三维注册算法,利用ORB进行特征提取和匹配,减少算法时间开销,同时使用改进的KLT算法对特征位置进行预测跟踪,改善移动三维注册算法中的实时性能。实验结果表明,在移动设备上采用ORB和KLT算法,不仅较好地解决移动增强现实三维注册实时性差的问题,同时也能保证有效的匹配性能。
3D registration algorithm is the key technology of augmented reality, as well as the indicator of system performance. Since existing algorithm, such as improved SIFT operator and FAST-SURF operator, is weak on real-time feature, this paper pro- poses an augmented reality 3D registration algorithm based on ORB and KLT, which reduces the time overhead and improves the matching performance. Experimental results show that the new algorithm which running on the mobile device, not only can reduce the time cost but also can ensure efficient matching performance.
出处
《计算机与现代化》
2014年第3期57-60,64,共5页
Computer and Modernization
基金
国家自然科学基金资助项目(61001143)
关键词
智能手机
实时性
特征跟踪
smart mobilephone
real-time
feature tracking