Image Matching Approach Integrated To Image Evaluation Techniques To Generate Augmented Reality In The Open Area Environments

Positioning of a XR/VR glasses with high accuracy in the open area environments and augmentation of simulated objects refers to the problem to give the real environment feeling during the training in a real environment to the trainees. In this article, an image matching approach will be proposed for generating a high accuracy image matching algorithm to use in the simulation systems while maximizing interactivity in the training area using by locating the glasses user with high accuracy. Current methods use sensors and cameras of the glasses, to locate the glasses in the environment that can give erroneous results while the data generated by the sensors. This paper proposes a technique that uses image matching algorithms to locate glasses by using previously given images with a known position. HARRIS and SIFT algorithms will be compared in robustness, implementation side for usage in real time on glasses