一种基于扩散速度的移动应用端活体人脸识别技术

提出一种采用扩散速度对活体人脸和伪造人脸的光照特性差异建模的方法。针对手机端的人脸识别活体检测的需求，根据伪造照片相对于活体照片有光照反射特性呈现出更加均衡、扩散更缓慢的特点，提出一种基于图像扩散（反射）速度模型（Diffusion Speed Model）的活体检测方法，通过引入全变差流（TV）来获得扩散速度，在得到的扩散速度图基础上，利用LSP编码（类似LBP）获取的局部速度特征向量作为线性SVM分类器的输入，经分类区分输入影像的真伪。通过设计多组对比实验，表明不管在室内环境或者在室外环境、多种人脸姿态和表情以及各种光照情况下，算法均能获得非常好的识别效果，而且基于LSP的基础方案具有高度的实时性和有效性，可以部署在各种移动终端设备中，实现跨平台一键式植入应用。

A Mobile Face Recognition Technology Based on Diffusion Speed

This paper proposes a method for modeling the differences in illumination characteristics between living faces and fake faces using diffusion speed. Aiming at the need for face detection of mobile phone, according to the characteristics that the photo-reflection of the fake photo is more balanced and diffusion is slower than the living photo, a living detection method based on the diffusion speed model is proposed. The detection method obtains the diffusion velocity by introducing a total variation flow (TV), and uses the local velocity feature vector obtained by LSP coding (similar to LBP) as the input of the linear SVM classifier based on the obtained diffusion velocity map, and classifies the authenticity of the input image by classification. By designing multiple sets of comparative experiments, it is shown that the algorithm can obtain very good recognition results regardless of indoor environment or outdoor environment, multiple face poses and expressions, and various lighting conditions, and the LSP-based basic scheme is of high real-time and effective, can be deployed in a variety of mobile terminal devices, enable cross-platform one-button implant applications.