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研究生： 廖志儒
Zhi-Ru Liao
論文名稱： 人臉辨識在Android平台之實現
Face recognition realized in Android platform
指導教授： 鍾鴻源
Hung-Yuan Chung
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
論文出版年： 2014
畢業學年度： 102
語文別： 中文
論文頁數： 101
中文關鍵詞： 人臉偵測 、人臉辨識 、Android
外文關鍵詞： face detection, face recognition, Android
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    • 本文目的在於開發應用程式在Android智慧型手機上應用，系統包含人臉偵測和人臉辨識兩部分。第一部分為人臉偵測，第二部分為人臉辨識，因為人臉偵測是人臉辨識的前置作業，其結果足以影響整個系統的效能，所以簡易人臉偵測和辨識，極為重要。由於本應用程式是即時系統，如何準確、快速地定位出人臉區域是開發辨識系統的主要目標。當影像輸入時，系統先利用顏色資訊從背景中分離出可能是人臉存在的膚色區塊，接著利用人臉區域中存在眼睛和嘴唇的區塊特徵，擷取出並改良之，然後再利用的人臉的幾何關係標定出正確的人臉位置，再以主成分分析的方法，簡化資料，再進行人臉辨識。

    The purpose of this system is to develop an application on Android smartphone. The system consists of face detection and face recognition. The first part is to detect face. The second part is face recognition. Before face recognition, we start face detection. The efficient of face detection will affect the results of overall system performance. The system is a real-time system, the main factor of face detection is speed and accurate. First, the system separates the human face candidates from the background by color information when smartphone’s camera catch image. The system found the eyes and lip candidates from face candidates by feature methods. Next, the system locates the real face region using color information and the geometrical relation of eyes. Finally,the recognition process is verified by applying PCA algorithm.

    摘要 I ABSTRACT II 致謝 III 目錄 IV 圖目錄 VII 表目錄 X 第一章 緒論 1 1.1 前言 1 1.2 文獻探討 2 1.3 主要成果和貢獻 5 1.4 論文架構 5 第二章 系統描述 6 2.1 系統架構 6 2.1.1 人臉偵測 7 2.1.2 人臉參數訓練 8 2.1.3 人臉辨識 9 2.2 ANDROID簡介 10 2.3 模擬平台簡介 12 第三章 人臉偵測 14 3.1 色彩空間 14 3.2 膚色偵測 16 3.3 二值化處理 18 3.4 形態學處理 19 3.4.1 侵蝕 19 3.4.2 擴張 20 3.4.3 連通標記法 22 3.5 尋找人眼特徵 24 3.6 尋找嘴唇特徵 25 3.7 人臉定位 27 3.8 雙線性內插法 31 第四章 人臉辨識 33 4.1 主成分分析之簡介 33 4.2 主成分分析法之應用 35 4.3 人臉參數訓練 38 4.4 人臉辨識 41 第五章 實驗結果和討論 43 5.1 辨識率探討 43 5.1.1 光線不同實驗 44 5.1.2 背景不同實驗 48 5.1.3 閉眼實驗 50 5.1.4 手勢干預實驗 51 5.1.5 Caltech人臉實驗 52 5.2 討論 53 第六章 結論與未來展望 54 6.1 結論 54 6.2 未來展望 55 參考文獻 56 附錄一 59 附錄二 70 文章發表 87

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