计算机工程与应用2019，Vol.55Issue(24)：147-153,7.DOI:10.3778/j.issn.1002-8331.1810-0165
MEEM跟踪和改进ORB特征检测的三维注册方法
3D Registration Method for MEEM Tracking and Improving ORB Feature Detection
摘要
Abstract
Aiming at the drift problem of 3D registration online tracking model in augmented reality system, and the regis-tration failure caused by the time-consuming problem of feature detection algorithm. A 3D registration method based on MEEM tracking and improved ORB feature detection is proposed. Moving object region is tracked by MEEM algorithm. Stable feature points are extracted by using multi-scale space theory when ORB algorithm is used to detect feature points for tracking target position, and the recursive adjustment method of improved decision tree is adopted, and the feature detection parameters are set at the same time, the feature points between adjacent frames are used to match each other. The tracking data set and the cube model generated by OpenGL are simulated. Simulation results show that the improved ORB feature detection algorithm has scale invariance, higher stability and uniform feature distribution for the detection of registered areas, and the error is reduced by about 42% compared with ORB algorithm. The registration method can basi-cally guarantee that the error is less than 7 mm in the running process. The AR system has better real-time performance, accuracy and robustness.关键词
ORB算法/MEEM跟踪/增强现实/跟踪注册/注册矩阵Key words
ORB algorithm/MEEM tracking/augmented reality/tracking registration/registration matrix分类
信息技术与安全科学引用本文复制引用
雍玖,王阳萍,雷晓妹..MEEM跟踪和改进ORB特征检测的三维注册方法[J].计算机工程与应用,2019,55(24):147-153,7.基金项目
国家自然科学基金(No.61162016,No.60962004) （No.61162016,No.60962004）
甘肃省国际科技合作项目(No.144WCGA162) （No.144WCGA162）
兰州市人才创新创业科技计划项目(No.2014-RC-7) （No.2014-RC-7）
甘肃省科技计划项目(No.18JR3RA104) （No.18JR3RA104）
甘肃省教育厅科技项目(No.2017D-08). （No.2017D-08）
