| dc.contributor.advisor | 廖文宏 | zh_TW |
| dc.contributor.advisor | Liao , Wen-Hung | en_US |
| dc.contributor.author (Authors) | 鄒博岱 | zh_TW |
| dc.contributor.author (Authors) | Tsou , Po-Tai | en_US |
| dc.creator (作者) | 鄒博岱 | zh_TW |
| dc.creator (作者) | Tsou , Po-Tai | en_US |
| dc.date (日期) | 2003 | en_US |
| dc.date.accessioned | 17-Sep-2009 13:53:06 (UTC+8) | - |
| dc.date.available | 17-Sep-2009 13:53:06 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Sep-2009 13:53:06 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0090753016 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/32626 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學學系 | zh_TW |
| dc.description (描述) | 90753016 | zh_TW |
| dc.description (描述) | 92 | zh_TW |
| dc.description.abstract (摘要) | 本研究嘗試不全以負面假設來看待配戴眼鏡對人臉辨識的影響。吾人將以邊緣偵測圖為基礎，以邊點強度的分析來建立一套定位眼鏡的偵測系統。同時用偵測出的鏡框位置，以邊緣點的強度、密度比較的方式，定位眼睛的位置；並以前述兩套偵測演算，採擷其過程的資訊，進一步地定位鼻子與嘴巴的位置。這些演算形成一個簡易的人臉特徵定位系統，其將可處理配戴眼鏡的人臉；吾人也將進一步地經由其處理過程與結果，分析眼鏡對區域人臉辨識的影響，進而引導出非自然物件可能對人臉辨識的阻礙或輔助。論文也將以全域比對法中的PCA與ICA演算法作一連串的實驗，剖析眼鏡對於全域辨識的影響；此外，亦用相同的方法來測試非自然物(眼鏡)、光源亮度與人臉角度對於人臉辨識阻礙的程度，以探究是否系統值得花費更大的代價，來移除眼鏡這個被一致認定的人臉辨識障礙，並得以在辨識演算法上獲得更高的效能。 | zh_TW |
| dc.description.abstract (摘要) | The objective of this thesis is to investigate the efficacy of face recognition systems when the subjects are wearing glasses. We do not presume that non-facial features such as glasses are nuisances. Instead, we will study whether the inclusion of glasses will have a positive impact on the face detection procedure and how it affects the feature extraction process. We will demonstrate how to use techniques based on local feature analysis to reduce the uncertainties in the matching result due to interferences around the eyes and nose caused by optical glasses.We have also conducted extensive experiments to analyze the effect of glasses on face recognition systems based on global matching strategy. Specifically, we perform both principal component analysis (PCA) and independent component analysis (ICA) on face databases with different percentage of subjects wearing eye glasses. It is concluded that external objects such as glasses will have a negative impact on face recognition using global analysis approaches. However, the adverse influences of illumination and pose are more conspicuous during the recognition process. Therefore, one should take caution when attempting to adapt the global matching scheme to handle the difficulties caused by glasses. | en_US |
| dc.description.tableofcontents | 第一章 緒論 1.1 研究目的 1.2 相關研究 1.3 初始觀察 1.3.1 人臉特徵位置 1.3.2 眼鏡 1.4 研究架構第二章 眼鏡偵測 2.1 問題與瓶頸 2.1.1 雜訊干擾橢圓假設 2.1.2 影像前處理 2.2 眼鏡偵測實踐(Implementation) 2.2.1 前處理 2.2.1.1 標準化 2.2.1.2 反光效應區域均值化 2.2.1.3 邊緣偵測(Edge Detection) 2.2.1.4 保留邊點(edge point)權重值 2.2.1.5 前處理演算法 2.2.2 眼鏡偵測 2.2.2.1 偵測基礎 2.2.2.2 水平頂點值(peak)求取 2.2.2.3 眼鏡存在判定 2.2.2.4 眼鏡偵測演算法 2.2.2.5 偵測演算最佳化第三章 以鏡框範圍作人臉特徵定位 3.1 眼鏡偵測結果 3.1.1 偵測結果圖例 3.1.2 眼鏡偵測分析 3.1.2.1 執行效率 3.1.2.2 鏡框材質 3.1.2.3 原始影像大小 3.1.2.4 容忍度 3.2 人臉特徵之定位 3.2.1 定位演算法 3.2.1.1 眼睛定位 3.2.1.2 鼻子定位 3.2.1.3 嘴巴定位 3.2.2 人臉特徵定位結果 3.3 偵測定位系統分析第四章 全域比對法下之戴眼鏡人臉辨識 4.1 實驗架構 4.2 實驗結果 4.3 亮度、人臉角度與配戴眼鏡與否的比較 4.3.1 實驗架構 4.3.2 實驗結果第五章 結論與未來方向 5.1 結論 5.2 未來方向參考文獻附錄一 全域比對分析圖表附錄二 全域比對分析圖表（人臉樣本之亮度、角度與配戴眼鏡因素之比較實驗） | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0090753016 | en_US |
| dc.subject (關鍵詞) | 眼鏡 | zh_TW |
| dc.subject (關鍵詞) | 人臉特徵 | zh_TW |
| dc.subject (關鍵詞) | 影像處理 | zh_TW |
| dc.subject (關鍵詞) | 霍夫轉換 | zh_TW |
| dc.subject (關鍵詞) | 人臉辨識 | zh_TW |
| dc.subject (關鍵詞) | 圖型辨識 | zh_TW |
| dc.subject (關鍵詞) | glasses | en_US |
| dc.subject (關鍵詞) | eyeglasses | en_US |
| dc.subject (關鍵詞) | facial feature | en_US |
| dc.subject (關鍵詞) | image processing | en_US |
| dc.subject (關鍵詞) | Hough transform | en_US |
| dc.subject (關鍵詞) | face recognition | en_US |
| dc.subject (關鍵詞) | pattern recognition | en_US |
| dc.title (題名) | 戴眼鏡對人臉辨識系統之影響 | zh_TW |
| dc.type (資料類型) | thesis | en |
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