低照度条件下超分辨率人脸图像采集系统设计与实现

Design and implementation of high resolution face image acquisition system under low illumination

摘要:

在计算机技术高速发展的时代,多平台计算机视觉库随之产生。OpenCV作为一种开源代码的计算机视觉库,以可兼容多平台、接口广泛的特点被广泛运用各个领域。在低照度条件下,会出现光照环境差异过大或光线不足等情况,导致传统图像采集系统不能采集高质量的人脸图像,局限性较差。提出基于OpenCV在C 环境配置下运用三维人脸识别技术算法,设计一套低照度条件下超分辨率人脸图像采集系统。实验证明,该设计方案具有实时(对焦速度快)、快速(单张采集0.05秒)、准确(面部识别率99.3%)等特点,能够充分满足低照度条件下超分辨率人脸图像采集的需求。

Abstract:

In the era of rapid development of computer technology, multi platform computer vision library will be produced. As an open source computer vision library, OpenCV is widely used in various fields, which is compatible with multi platform and interface. Under the condition of low illumination, the illumination environment difference is too big or the light is insufficient, which leads to the traditional image acquisition system can not collect the high quality face image, and the limitation is poor. Based on OpenCV in the C++ environment configuration, the use of 3D face recognition technology algorithm, design a set of low illumination conditions of the super resolution face image acquisition system. Experiments show that the design scheme with real-time focusing speed), fast (single acquisition 0.05 seconds), accurate (facial recognition rate of 99.3%) etc. characteristics, be able to fully meet the needs of low illumination conditions for super-resolution of face image acquisition.