基于AKAZE的增强现实系统的研究

Research of Augmented Reality System Based on AKAZE

KAZE特征检测算法运算鲁棒性好,匹配率高,但受限于运行时间长和实时性差,故在其基础上进行优化,采用AKAZE算法中的FED替换KAZE算法中的AOS,并改进了算法中的描述符M-LDB。实验结果证明:AKAZE算法克服了KAZE算法的局限性,明显提高了算法的匹配率,减少了运算时间。AKAZE算法的增强现实系统具有良好的鲁棒性和实时性。

KAZE feature detection algorithm has good rubustness,matching rate is high,but limited by the long run time and slower than other algorithm,so,on the basis of optimization,AKAZE algorithm's the FED is used to replace KAZE algorithm's AOS,and the descriptor M-LDB is improved.The experimental results show that the AKAZE algorithm overcomes the limitation of the KAZE algorithm,significantly improves the matching rate of the algorithm and reduces the computation time.AKAZE algo?rithm's augment reality system has good robustness and short run time.