With the development of e-commerce, network virtual try-on, as a new online shopping mode, fills the gap that the goods cannot be tried on in traditional online shopping. In the work, we discussed augmented reality virtual glasses try-on technology on iOS platform to achieve optimal purchase of online glasses, improving try-on speed of virtual glasses, user senses of reality, and immersion. Face information was collected by the input device-monocular camera. After face detection by SVM classifier, the local face features were extracted by robust SIFT. Combined with SDM, the feature points were iteratively solved to obtain more accurate feature point alignment model. Through the head pose estimation, the virtual model was accurately superimposed on the human face, thus realizing the try-on of virtual glasses. The above research was applied in iOS glasses try-on APP system to design the try-on system of augmented reality virtual glasses on iOS mobile platform. It is proved that the method can achieve accurate identification of face features and quick try-on of virtual glasses.

中文翻译：

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基于iOS平台的增强现实虚拟眼镜试戴技术

随着电子商务的发展，网络虚拟试穿作为一种新的在线购物方式，填补了传统在线购物无法试穿商品的空白。在工作中，我们讨论了iOS平台上的增强现实虚拟眼镜试戴技术，以实现在线眼镜的最佳购买，提高了虚拟眼镜的试戴速度，用户的真实感和沉浸感。脸部信息是通过输入设备单眼相机收集的。通过SVM分类器进行人脸检测后，通过鲁棒的SIFT提取局部人脸特征。结合SDM，迭代求解特征点以获得更准确的特征点对齐模型。通过头部姿势估计，将虚拟模型准确地叠加在人脸上，从而实现了虚拟眼镜的试戴。以上研究应用于iOS眼镜试戴APP系统，设计了iOS移动平台上的增强现实虚拟眼镜试戴系统。实践证明，该方法可以实现人脸特征的准确识别和虚拟眼镜的快速试戴。