关键词: ORB算法, MEEM跟踪, 增强现实, 跟踪注册, 注册矩阵

Abstract: Aiming at the drift problem of 3D registration online tracking model in augmented reality system, and the registration 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 basically guarantee that the error is less than 7 mm in the running process. The AR system has better real-time performance, accuracy and robustness.

Key words: ORB algorithm, MEEM tracking, augmented reality, tracking registration, registration matrix