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研究生:廖俊能
研究生(外文):Jyun-Neng Liao
論文名稱:以人臉與印章為例之圖像辨識分析
論文名稱(外文):Pattern Recognition of Human Faces and Seals
指導教授:李建興李建興引用關係
指導教授(外文):Chien-Hsing Lee
學位類別:碩士
校院名稱:國立成功大學
系所名稱:系統及船舶機電工程學系碩博士班
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:78
中文關鍵詞:歐氏距離線性鑑別式分析最接近特徵線小波轉換光學立體法主成份分析法
外文關鍵詞:Euclidean distanceWavelet transformLinear discriminant analysisNearest feature linePhotometric stereo methodPrinciple components analysis
相關次數:
  • 被引用被引用:1
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
一般由攝影機直接擷取的圖像是由像素所組成,以印章為例的物件圖像,其固定的外部輪廓將以內部文字為圖像分類依據,而以人臉為例的生物圖像則包含繁複的外部輪廓與內部五官特徵。所以,本文將以人臉與印章為例,探討圖像辨識之差異,其中以數種特徵擷取演算法與決策分類法則來分析光學立體演算法所架構的高度圖像(簡稱2.5D人臉)與攝影機直接擷取的像素圖像(簡稱2D人臉)於人臉辨識之差異。特徵擷取演算法中之Delaunay三角網格法乃是針對印章圖像的外部輪廓與內部文字架構出三角網格結構,其不易受位置與角度改變之影響;而於人臉圖像之分析,此法以人臉高度圖像的外部輪廓與內部五官高度為依據,用以增減特徵點來調整三角網格局部結構,其人臉圖像將不易受光線與表情影響。最後,以2.5D人臉與印章圖像為例,開發使用者操作介面以進行圖像識別。
A 2D image captured by a CCD is generally composed by pixels, e.g., pattern recognition of seals and human faces. The seal has firm external contour with classifying by its internal words; the human face has inextricable complexity of external contour with an internal facial feature. This thesis will investigate the difference of pattern recognition of seals and human faces. In this thesis, many feature extraction and classification methods are used to analyze the 2D image with a height obtained by the photometric stereo method (called 2.5D face) and the 2D image with pixels directly captured by a CCD (called 2D face). One of the feature extraction methods, namely Delaunay triangulation, uses the external contour and internal words of a seal to construct the structure of the triangular network without affecting by the capturing position and angle. Moreover, the Delaunay triangulation for face regnition uses the external contour and the height of 2.5D face to increase or decrease its characteristics without affecting by the light and facial expression. Finally, this thesis has developed a user interface of pattern recognition based on the images of 2.5D human faces and seals.
摘要 i
Abstract ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 viii
第一章 緒 論 1
1.1前言 1
1.2相關文獻 2
1.3研究動機 3
1.4論文架構 4
第二章 光學立體演算法 5
2.1前言 5
2.2光學投影成型法 5
2.3光學立體演算法 6
2.4選用三組發光源 8
2.5光學立體演算法的法向量 9
2.5.1反射係數獨立性 9
2.5.2計算法向量 10
2.6 光學立體演算法的拍攝環境 11
2.6.1角度因素 13
2.6.2半徑因素 15
2.6.3距離因素 15
2.6.4高度因素 16
第三章 特徵擷取演算法與決策法則 23
3.1前言 23
3.2主成份分析法 23
3.3 Haar小波轉換 24
3.4 Delaunay三角網格法 24
3.5分水嶺分割法 27
3.6線性鑑別式分析法 28
3.7 歐氏距離決策法 30
3.8最接近特徵線決策法 31
第四章 模擬結果 33
4.1前言 33
4.2人臉資料庫 33
4.3圖像特徵擷取 34
4.4人臉圖像辨識之模擬 37
4.4.1人臉圖像辨識之比較 39
4.4.2結合特徵擷取法於人臉辨識流程之比較 41
4.5印章圖像辨識之模擬 44
4.5.1 印章圖像辨識之比較 44
4.5.2 印章圖像辨識之文字分類 46
第五章 人臉與印章辨識系統的實測 48
5.1前言 48
5.2人臉辨識的實測 48
5.3印章辨識的實測 58
5.4辨識系統之架構 64
第六章 結論與未來展望 67
6.1結論 67
6.2未來展望 69
參考文獻 71
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