WebCam人臉檢測(cè)技術(shù)
全文19頁(yè) 1.2萬(wàn)余字 有完整的設(shè)計(jì)思路 和設(shè)計(jì)過(guò)程以及圖示

摘要
人臉識(shí)別技術(shù)可以應(yīng)用于基于網(wǎng)絡(luò)的身份認(rèn)證，我們實(shí)現(xiàn)了基于WebCam的人臉識(shí)別與跟蹤系統(tǒng)。本文以WebCam采集的視頻流為數(shù)據(jù)源，截取視頻流中的單幀圖像，通過(guò)轉(zhuǎn)換色彩空間、人臉膚色建模、后處理操作和人臉定位算法實(shí)現(xiàn)了人臉檢測(cè)，并以此為基礎(chǔ)實(shí)現(xiàn)了在視頻流中對(duì)于人臉的跟蹤。試驗(yàn)結(jié)果表明，我們所實(shí)現(xiàn)的人臉識(shí)別算法適用于近距離人臉的檢測(cè)，可以應(yīng)用于基于WebCam的身份認(rèn)證。
關(guān)鍵詞
人臉識(shí)別，人臉檢測(cè)，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......



目　　錄
摘要 2
關(guān)鍵詞 2
Abstract 3
Keyword 3
1人臉檢測(cè)的意義，國(guó)內(nèi)外的情況綜述 4
2 基于膚色的人臉定位 6
2.1彩色空間，以及彩色空間的轉(zhuǎn)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 視頻工具包Video for Windows 10
3.2視頻流采集的實(shí)現(xiàn) 11
3.2.1 AVICap主要功能 11
3.2.2 視頻采集算法 12
3.3視頻流的顯示 15
4試驗(yàn)數(shù)據(jù)與展望 17
4.1試驗(yàn)數(shù)據(jù) 17
4.2展望 17
參考文獻(xiàn) 18
附錄A 系統(tǒng)使用說(shuō)明 18


部分參考文獻(xiàn)
[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