基于FAST-SURF算法的移动增强现实跟踪技术  

Mobile Augmented Reality Tracking Technology Based on FAST-SURF Algorithm

作　　者：陈智翔[1] 吴黎明[1] 高世平[1] 

机构地区：[1]广东工业大学信息工程学院,广东广州510006

出　　处：《计算机与现代化》2013年第9期105-108,共4页Computer and Modernization

摘　　要：在移动增强现实中,由于移动终端中系统性能低导致其对特征提取匹配及跟踪识别能力不足,基于FAST-SURF算法对平面标识物进行检测与描述,将特征点保存成KD-Tree结构,加快与离线采集特征点的匹配速度,通过KLT跟踪算法跟踪特征关键帧,确定摄像机的位姿,将三维虚拟物品叠加到真实场景中,完成虚实结合。通过在Android平台上的算法移植实验表明,在不同角度、一定环境变化和基准图像被部分遮挡情况下,该系统都具有良好的显示跟踪性能。In the mobile augmented reality,because the low performance of mobile terminals leads to that the capability of feature extraction matching and tracking recognition is limited,this paper uses the FAST-SURF algorithm to detect and describe the plane marker,to save the feature points into the structure of KD-Tree to accelerate the matching speed with the offline collected feature points,through the KLT tracking algorithm to track the key feature frame to determine the position and orientation of the camera,and to superimpose the three-dimensional virtual items onto the real scene.The transplantation experiments of the algorithm on the Android platform show that,in the case of different angles,certain environmental changes and that the reference image is partly occluded,the system is of good display tracking performance.

关 键 词：移动增强现实 FAST-SURF KD-TREE Android 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]