基于无标记识别的增强现实方法研究

Research on Augmented Reality Method Based on Unmarked Recognition

增强现实(Augment Reality,AR)作为一种将虚拟物体与现实场景相互叠加的技术,通过虚拟的信息去扩展实际场景的信息量。针对以往AR应用方法上的不足,提出了基于滤波处理优化的无标记识别AR应用实现方法。该算法利用滤波对图像进行预处理优化操作,解决了过去识别算法匹配效果不佳的问题;在二维图像中建立三维模型,并在二维平面上进行模型的渲染。实验结果表明,与以往的匹配算法相比,该方法识别效果提高了10%以上,在匹配效率上有着更明显的优势,而且也有更好的鲁棒性。

As a kind of technology of superposing the virtual objects upon reality scene, AR（Augment Reality） expands the information quantity of the actual scene by virtual information. Aiming at the deficiency of previous AR application methods, the AR application method of unmarked recognition based on the optimized filtering was proposed in this paper. In this algorithm, filtering was used for image preprocessing to solve the poor matching efficiency problems of the past recognition algorithms, then three-dimensional model was established in two-dimensional images and the model was rendered in the two-dimensional plane. The experimental results show that, compared with the previous matching algorithms, this method increases the recognition accuracy by more than 10% and has more obvious advantages on matching efficiency. Furthermore, it is more robust.