基于opencv的人脸识别系统 - 图文

攀枝花学院本科毕业设计（论文）

基于OPENCV的人脸检测与识别系统

学生姓名： 孙 旭 学生学号： 200910802057 院（系）： 数学与计算机学院 年级专业： 09级信息与计算机科学 指导教师： 陈尧 硕士助教

二零一三年六月

攀枝花学院本科毕业设计（论文） 摘要

摘 要

近几年来计算机网络传输、监控及视频分析在社会上不断的兴起，数字信息已经超越了模拟信息其主要原因在于数字信息更易于存储和分析，因此，在视频监控领域采用计算机对视频信息进行采集、压缩、分析、存储得到了很多人的青睐。

基于OPENCV的人脸检测与识别系统在计算机模式计算和模式识别等方面具有极其重要的作用。在基于人脸识别，图像压缩，视频监控，运动物体检测等方面有着更重要的应用价值。近年来计算机视觉技术在视觉领域中取得了飞速的发展，并在其他领域中得到了广泛的应用。本论文以OPENCV库为基础，采用QT作为图形界面开发，具有人脸采集，图片训练，数据库管理及人脸识别等功能。该系统能够进行长时间的运行并测试稳定，在程序中提供了统一的接口以并进行二次开发。

关键词：人脸检测，人脸识别，级联分类检测器

I

攀枝花学院本科毕业设计（论文） ABSTRACT

ABSTRACT

In recent years, computer network transmission, monitoring, and video analysis showed that the continuous rise in the social, digital information has gone beyond the main reason is that analog information is easier to store digital information and analysis, therefore, in the field of video surveillance video information by computer acquisition, compression, analysis, storage get a lot of people of all ages.

Opencv based on face detection and recognition system in the computer model and pattern recognition, and so has an extremely important role. Based on face recognition, image compression, video surveillance, detection of moving objects and so has a more important application value. In recent years, in the visual field of computer vision technology has made rapid development, and in other areas has been widely used. This thesis is based opencv library, using qt as a graphical interface development with human face capture, image training, database management, and face recognition and other functions. The system is capable of stable long run and test the program in order to provide a unified interface and secondary development.

Keywords：Face detection, face recognition, cascade classification detect

II

攀枝花学院本科毕业设计（论文） 1 绪论

目 录

摘 要 ............................................................................................................................. I ABSTRACT ................................................................................................................. II

1 绪论 ......................................................................................................................... 1

1.1 课题提出的背景 ................................................................................................. 1 1.2 人脸识别技术的研究意义 ................................................................................... 2 1.3 课题研究方法 .................................................................................................... 2

1.3.1 人脸检测的原理....................................................................................... 2 1.3.2 人脸识别的原理....................................................................................... 2 1.4 人脸识别的国内外发展概况 ............................................................................... 2

1.4.1 国内发展概况 .......................................................................................... 2 1.4.2 国外发展概况 .......................................................................................... 3

2 系统的需求分析与方案选择 ................................................................................. 4

2.1 可行性分析 ........................................................................................................ 4

2.1.1 技术可行性.............................................................................................. 4 2.1.2 操作可行性.............................................................................................. 4 2.2 需求分析 ........................................................................................................... 5

2.2.1 应用程序的功能需求分析 ........................................................................ 5 2.2.2 开发环境需求分析 ................................................................................... 5

3 研究方案及技术路线 ............................................................................................. 7

3.1 人脸检测方案 .................................................................................................... 7 3.2 人脸识别方案 .................................................................................................... 8 3.3 使用技术 ........................................................................................................... 9

3.3.1 子空间法 ................................................................................................. 9 3.3.2 meanshift算法 ..................................................................................... 10 3.4 信息查询与维护流程图 .................................................................................... 10 4 系统的概要设计 ................................................................................................... 12

4.1 应用程序的总体结构设计流程图 ...................................................................... 12 4.2 图像预处理的层次图 ........................................................................................ 13 4.3 各模块功能概述 ............................................................................................... 13

4.3.1 图像获取模块 ........................................................................................ 13 4.3.2 人脸区域获取 ........................................................................................ 13 4.3.3 图像预处理模块..................................................................................... 13 4.3.4 人脸定位模块 ........................................................................................ 15 4.3.5 特征提取模块 ........................................................................................ 15 4.3.6 识别模块 ............................................................................................... 15 4.3.7 数据库存储模块..................................................................................... 16 4.3.8人脸采集注意事项 .................................................................................. 19

5 系统的详细设计 ................................................................................................... 20

5.1 系统的运行流程图 ........................................................................................... 20

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