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研究生:周建豐
論文名稱:以多階分割的空間關係做人臉偵測與特徵擷取
論文名稱(外文):Robust face detection and facial feature^^extraction based on spatial relationship
指導教授:曾定章曾定章引用關係
學位類別:碩士
校院名稱:國立中央大學
系所名稱:資訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:60
中文關鍵詞:人臉偵測人臉特徵分割
相關次數:
  • 被引用被引用:1
  • 點閱點閱:190
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
人臉偵測與人臉辨識的研究已有超過廿年的歷史,各式各樣的相關應用也相繼的衍生出來。但在過去的人臉偵測與辨識研究中,都忽略了取像亮度因素對偵測及辨識結果的影響,也忽視了擷取特徵的準確度,以致於應用的成效不彰。在本論文的研究中,我們以多階分割 (multi-stage thresholding) 的技術及空間關係 (spatial relation) 的資訊來完成不受取像亮度因素影響的多人臉影像偵測及單人臉影像的精確特徵擷取。此外,我們的方法還可容忍人臉在三度空間中正負三十多度的旋轉。在多人臉影像偵測中,首先攝取一RGB彩色影像,轉換成VHS色譜影像,再依據HS色譜值來分割出人臉區域,最後再以型態學 (morphology) 運算修飾人臉區域。一個多階分割的方法是在人臉區域上分割出所有的特徵區塊,再以人臉五官的相對關係評估特徵區塊以判別人臉,最後再以邊線偵測法 (edge detection) 從最佳組合的特徵區塊中找出特徵點。

摘要II
誌謝III
目錄IV
第一章緒論一
第二章相關研究二
第三章人臉區域分割三
第四章人臉偵測四
第五章特徵點擷取五
第六章實驗與討論六
第七章結論七
附錄 英文版論文八

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[9]Rowley, H. A., S. Baluja, and T. Kanade, “Neural network-based face detection,” IEEE Trans Pattern Analysis and Machine Intelligence, Vol.20, No.1, pp.23-28, 1998.
[10]Saber, E. and A. M. Tekalp, “Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions,” Pattern Recognition Letters, Vol.19, No.8, pp.669-680, 1998.
[11]Shackleton, M. A. and W. J. Welsh, “Classification of facial features for recognition,” IEEE Computer Society Conference, June.3-6, 1991, pp.573-579.
[12]Sobottka, K. and I. Pitas, “Extraction of facial regions and features using color and shape information,” in Proc. 13th International Conference on Pattern Recognition, Vienna, Austria, Aug.25-29, 1996, pp.421-425.
[13]Sobottka, K. and I. Pitas, “A novel method for automatic face segmentation, facial feature extraction and tracking,” Signal Processing: Image Communication, Vol.12, No.3, pp.263-281, 1998.
[14]Turk, M. and A. Pentland, “Eigenfaces for recognition,” Journal of Cognitive Neuroscience, Vol.3, No.1, pp.71-86, 1991.
[15]Wang, J. and E. Sung, “Frontal-view face detection and facial feature extraction using color and morphological operations,” Pattern Recognition Letters, Vol.20, No.10, pp.1053-1068, 1999.
[16]Yanjiang, W. and Y. Baozong, “Segmentation method for face detection in complex background,” Electronics Letters, Vol.36, No.3, pp.213-214, 2000.
[17]Yow, K. and R. Cipolla, “Feature-based human face detection,” Image and Vision Computing, Vol.15, No.9, pp.713-735, 1997.

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