TY  - EJOU
AU  - Yang, Tingting 
AU  - Jia, Shuwen 
AU  - Yang, Boxiong 
AU  - Kan, Chenxi 

TI  - Research on Tracking and Registration Algorithm Based on Natural Feature Point
T2  - Intelligent Automation \& Soft Computing

PY  - 2021
VL  - 28
IS  - 3
SN  - 2326-005X

AB  - In the augmented reality system, the position and direction of the user’s point of view and line of sight in the real scene is acquired in real-time. The position and direction information will determine the exact position of the virtual object of the real scene. At the same time, various coordinate systems are established according to the user’s line of sight. So registration tracking technology is very important. The paper proposes an accurate, stable, and effective augmented reality registration algorithm. The method adopts the method of ORB (oriented FAST and rotated BRIEF) features matching combined with RANSAC (random sample consensus) to obtain the homography matrix and then uses the KLT (kanade-lucas-tomasi) tracking algorithm to track the mark, which is a better solution. The error accumulation defect based on the natural feature tracking registration method is improved, and the stability and accuracy of the registration are improved. Experiments have proved that the algorithm in this paper is accurate, stable, and effective, and can complete the virtual and real registration tasks accurately and stably even when the marked part is not visible.
KW  - Augmented reality; natural feature points; registration algorithm

DO  - 10.32604/iasc.2021.017235