In order to obtain more ideal effect of the augmented reality, this paper puts forward an augmented reality algorithm based on Android platform. Firstly, the feature positions in the two image corner points are determined by using FAST algorithm, and SURF is used to generate feature descriptor, and then the fast approximate proximal point search algorithm is used to match, finally, implemented in the Android platform and the performance is test by simulation experiment. The simulation results show that, the proposed algorithm has the advantages of Android and can meet the augmented reality real-time requirements, but also has good robustness, overcomes the limitation of traditional augmented reality technology.%为了获得更加理想的增强现实效果,提出一种基于利用 Android 平台的增强现实算法。首先采用 FAST算法确定两幅图像中的特征角点,并采用SURF生成特征点描述符,然后采用快速近似邻近点搜索进行图像匹配,最后在Android平台上实现算法,并采用仿真实验测试算法的性能。仿真结果表明,本文算法结合Android的优点,可以较好的满足增强现实的实时性的要求,而且具有较好的鲁棒性,克服了传统增强现实技术的局限性。
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