적응적 임계값을 이용한 마커 기반 증강 현실 환경에서의 마커 떨림 개선

Abstract

In this paper, we propose a novel method which improves a jittering problem of a marker detection by using adaptive thresholding method in augmented reality. The existing methods using fixed threshold value are sensitive in the change of the illuminance, so detection rate of marker locations are unsatisfactory. As experimental results, the proposed method has improved detection rate of markers and jittering rate compared with the existing methods.