Open Access

ARTICLE

Research on Tracking and Registration Algorithm Based on Natural Feature Point

Tingting Yang^1,*, Shuwen Jia¹, Boxiong Yang¹, Chenxi Kan²

1 Shcool of Information and Intelligence Engineering University of Sanya, Sanya, China
2 Engineering Technology and Applied Science, Centennial College, Toronto, Canada

* Corresponding Author: Tingting Yang. Email:

Intelligent Automation & Soft Computing 2021, 28(3), 683-692. https://doi.org/10.32604/iasc.2021.017235

Received 24 January 2021; Accepted 27 February 2021; Issue published 20 April 2021

Abstract

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.

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Keywords

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