c++基于webcam的人臉檢測技術源碼+論文.rar
c++基于webcam的人臉檢測技術源碼+論文,摘要人臉識別技術可以應用于基于網絡的身份認證，我們實現了基于webcam的人臉識別與跟蹤系統(tǒng)。本文以webcam采集的視頻流為數據源，截取視頻流中的單幀圖像，通過轉換彩色空間、人臉膚色建模、后處理操作和人臉定位算法實現了人臉檢測，并以此為基礎實現了在視頻流中對于人臉的跟蹤。試驗結果表明，我們所實現的人臉識別算法適用于近...
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內容介紹
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摘要
人臉識別技術可以應用于基于網絡的身份認證，我們實現了基于WebCam的人臉識別與跟蹤系統(tǒng)。本文以WebCam采集的視頻流為數據源，截取視頻流中的單幀圖像，通過轉換彩色空間、人臉膚色建模、后處理操作和人臉定位算法實現了人臉檢測，并以此為基礎實現了在視頻流中對于人臉的跟蹤。試驗結果表明，我們所實現的人臉識別算法適用于近距離人臉的檢測，可以應用于基于WebCam的身份認證。
關鍵詞
人臉識別，人臉檢測，膚色，定位，視頻流
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 錄
摘要 1
關鍵詞 2
Abstract 3
Keyword 3
1 人臉檢測的意義，國內外的情況綜述 4
2 單幀圖像的人臉定位 6
2.1彩色空間，以及彩色空間的轉換 6
2.2人臉膚色模型，二值化 7
2.3后處理 9
2.4人臉區(qū)域的定位 10
3 視頻流 10
3.1視頻流采集工具Video for Windows簡介 10
3.2視頻流采集的實現 11
3.2.1AVICap主要功能 11
3.2.2具體實現 11
3.3視頻流的繪制 15
4 試驗數據與展望 17
4.1試驗數據 17
4.2展望 18
參考文獻 18
附錄A 系統(tǒng)使用說明 19
參考文獻
[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] 阮鵬，趙明生，安全監(jiān)控中的一種快速人臉定位算法，清華大學電子工程系網絡與人機語音通信研究所，2003
[9] 胡曉軍，鄧波，高宏偉等《Visual C++高級開發(fā)范例解析》，電子工業(yè)出版社，2002
[10] 徐慧，《Visual C++數字圖像實用工程案例精選》，人民郵電出版社，2004
人臉識別技術可以應用于基于網絡的身份認證，我們實現了基于WebCam的人臉識別與跟蹤系統(tǒng)。本文以WebCam采集的視頻流為數據源，截取視頻流中的單幀圖像，通過轉換彩色空間、人臉膚色建模、后處理操作和人臉定位算法實現了人臉檢測，并以此為基礎實現了在視頻流中對于人臉的跟蹤。試驗結果表明，我們所實現的人臉識別算法適用于近距離人臉的檢測，可以應用于基于WebCam的身份認證。
關鍵詞
人臉識別，人臉檢測，膚色，定位，視頻流
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 錄
摘要 1
關鍵詞 2
Abstract 3
Keyword 3
1 人臉檢測的意義，國內外的情況綜述 4
2 單幀圖像的人臉定位 6
2.1彩色空間，以及彩色空間的轉換 6
2.2人臉膚色模型，二值化 7
2.3后處理 9
2.4人臉區(qū)域的定位 10
3 視頻流 10
3.1視頻流采集工具Video for Windows簡介 10
3.2視頻流采集的實現 11
3.2.1AVICap主要功能 11
3.2.2具體實現 11
3.3視頻流的繪制 15
4 試驗數據與展望 17
4.1試驗數據 17
4.2展望 18
參考文獻 18
附錄A 系統(tǒng)使用說明 19
參考文獻
[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] 阮鵬，趙明生，安全監(jiān)控中的一種快速人臉定位算法，清華大學電子工程系網絡與人機語音通信研究所，2003
[9] 胡曉軍，鄧波，高宏偉等《Visual C++高級開發(fā)范例解析》，電子工業(yè)出版社，2002
[10] 徐慧，《Visual C++數字圖像實用工程案例精選》，人民郵電出版社，2004
