Tehnički vjesnik, Vol. 25 No. 4, 2018.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20180408120907
An Efficient Feature Extraction Scheme for Mobile Anti-Shake in Augmented Reality
Lifen Zhang
; School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China
Guangyong Gao
; School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China
Caixue Zhou
; School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China
Zongmin Cui
; School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China
Lihua Wang
; School of Information Science and Technology, Jiujiang University, Jiujiang 332005, China
Sažetak
In recent years, augmented reality on mobile devices has become popular. Mobile shakes are the most typical type of interference in mobile augmented reality. To negate such interference, anti-shake is an urgent requirement. To enhance anti-shake efficiency, we propose an efficient feature extraction scheme for mobile anti-shake in augmented reality. The scheme directly detects corners to avoid the non-extreme constraint such that the efficiency of feature extraction is improved. Meanwhile, the scheme only updates the added corners during mobile shakes, which improves the accuracy of feature extraction. In the experiments, the memory consumption of existing methods is almost double compared to that in our scheme. Further, the runtime of our scheme is only half of the runtime of the existing methods. The experimental results demonstrate that our scheme performs better than the existing classic methods on mobile anti-shake in terms of memory consumption, efficiency, and accuracy.
Ključne riječi
augmented reality; efficient anti-shake; feature extraction; mobile shake
Hrčak ID:
204461
URI
Datum izdavanja:
20.8.2018.
Posjeta: 1.808 *