c++基于webcam的人脸检测技术源码+论文.rar
c++基于webcam的人脸检测技术源码+论文,摘要人脸识别技术可以应用于基于网络的身份认证，我们实现了基于webcam的人脸识别与跟踪系统。本文以webcam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近...
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摘要
人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。
关键词
人脸识别，人脸检测，肤色，定位，视频流
Abstract
Face recognition can be applied to identity authentication on Internet, now we have realized face recognition and tracking system based on WebCam. This essay takes video flowing collected from WebCam as data source, and cuts off Single frame in video flowing. It has realized face detection through transforming colored space, complexion modeling, aftertreatment and face orient algorithms, and based on which the essay has realized face tracking in video flowing.The result of the test shows that the face detection algorithms we realized adapts to short distant face detection, and also can be used as identity authentication based on WebCam.
Keyword
Face recognition, face detection, Complexion, video flowing
目 录
摘要 1
关键词 2
Abstract 3
Keyword 3
1 人脸检测的意义，国内外的情况综述 4
2 单帧图像的人脸定位 6
2.1彩色空间，以及彩色空间的转换 6
2.2人脸肤色模型，二值化 7
2.3后处理 9
2.4人脸区域的定位 10
3 视频流 10
3.1视频流采集工具Video for Windows简介 10
3.2视频流采集的实现 11
3.2.1AVICap主要功能 11
3.2.2具体实现 11
3.3视频流的绘制 15
4 试验数据与展望 17
4.1试验数据 17
4.2展望 18
参考文献 18
附录A 系统使用说明 19
参考文献
[1] Thomas Fromherz, Peter Stucki, Martin Bichsel. A Survey of Face Recognition. MML Technical Report, No 97.01, Dept. of Computer Science, University of Zurich, 1997.
[2] R.C.K Hua, L.C. De Silva, P. Vadakkepat. Detection and Tracking of Faces in Real-Time Environments. International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems,Sep. 26 - 27, 1999, p.96
[3] Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja. Detecting Faces in Images: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002,VOL. 24, NO. 1
[4] Do-Joon Jung, Chang-Woo Lee, Yeon-Chul Lee, Sang-Yong Bak, Jong-Bae Kim, Hyun Kang, Hang-Joon Kim. PCA-Base Real-Time Face Detection and Tracking. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'02), Jul, Phuket, Thailand, Jul. 16-19, 2002, Vol. 1, p.615-618
[5] James L. Crowley, Francois Berard. Multi-Modal Tracking of Faces for Video Communications. Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997, p.640
[6] Vladimir Vezhnevets, Vassili Sazonov, Alla Andreeva. A Survey on Pixel-Based Skin Color Detection Techniques. Graphics,Media Laboratory.
[7] Rein-Lien Hsu, Mohamed Abdel-Mottaleb, Anil K. Jain. Face Detection in Color Images. IEEE Trans. Pattern Analysis and Machine Intelligence, May 2002, vol. 24, no. 5, p. 696-706
[8] 阮鹏，赵明生，安全监控中的一种快速人脸定位算法，清华大学电子工程系网络与人机语音通信研究所，2003
[9] 胡晓军，邓波，高宏伟等《Visual C++高级开发范例解析》，电子工业出版社，2002
[10] 徐慧，《Visual C++数字图像实用工程案例精选》，人民邮电出版社，2004
人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。
关键词
人脸识别，人脸检测，肤色，定位，视频流
Abstract
Face recognition can be applied to identity authentication on Internet, now we have realized face recognition and tracking system based on WebCam. This essay takes video flowing collected from WebCam as data source, and cuts off Single frame in video flowing. It has realized face detection through transforming colored space, complexion modeling, aftertreatment and face orient algorithms, and based on which the essay has realized face tracking in video flowing.The result of the test shows that the face detection algorithms we realized adapts to short distant face detection, and also can be used as identity authentication based on WebCam.
Keyword
Face recognition, face detection, Complexion, video flowing
目 录
摘要 1
关键词 2
Abstract 3
Keyword 3
1 人脸检测的意义，国内外的情况综述 4
2 单帧图像的人脸定位 6
2.1彩色空间，以及彩色空间的转换 6
2.2人脸肤色模型，二值化 7
2.3后处理 9
2.4人脸区域的定位 10
3 视频流 10
3.1视频流采集工具Video for Windows简介 10
3.2视频流采集的实现 11
3.2.1AVICap主要功能 11
3.2.2具体实现 11
3.3视频流的绘制 15
4 试验数据与展望 17
4.1试验数据 17
4.2展望 18
参考文献 18
附录A 系统使用说明 19
参考文献
[1] Thomas Fromherz, Peter Stucki, Martin Bichsel. A Survey of Face Recognition. MML Technical Report, No 97.01, Dept. of Computer Science, University of Zurich, 1997.
[2] R.C.K Hua, L.C. De Silva, P. Vadakkepat. Detection and Tracking of Faces in Real-Time Environments. International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems,Sep. 26 - 27, 1999, p.96
[3] Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja. Detecting Faces in Images: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002,VOL. 24, NO. 1
[4] Do-Joon Jung, Chang-Woo Lee, Yeon-Chul Lee, Sang-Yong Bak, Jong-Bae Kim, Hyun Kang, Hang-Joon Kim. PCA-Base Real-Time Face Detection and Tracking. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC'02), Jul, Phuket, Thailand, Jul. 16-19, 2002, Vol. 1, p.615-618
[5] James L. Crowley, Francois Berard. Multi-Modal Tracking of Faces for Video Communications. Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997, p.640
[6] Vladimir Vezhnevets, Vassili Sazonov, Alla Andreeva. A Survey on Pixel-Based Skin Color Detection Techniques. Graphics,Media Laboratory.
[7] Rein-Lien Hsu, Mohamed Abdel-Mottaleb, Anil K. Jain. Face Detection in Color Images. IEEE Trans. Pattern Analysis and Machine Intelligence, May 2002, vol. 24, no. 5, p. 696-706
[8] 阮鹏，赵明生，安全监控中的一种快速人脸定位算法，清华大学电子工程系网络与人机语音通信研究所，2003
[9] 胡晓军，邓波，高宏伟等《Visual C++高级开发范例解析》，电子工业出版社，2002
[10] 徐慧，《Visual C++数字图像实用工程案例精选》，人民邮电出版社，2004
