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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95903

    Title: 以人眼為特徵的即時人臉檢測系統
    Other Titles: A Fast Face Detection System via Eyes Feature
    Authors: 謝景棠;賴友仁;沈啟亮;楊秉達
    Contributors: 淡江大學電機工程學系
    Keywords: 影像處理;圖形辨識;人臉偵測;索貝爾邊緣;倒傳遞類神經網路;Image processing;Pattern recognition;Face detection;Sobel edge;Back-propagation neural network (BPNN)
    Date: 2003-12
    Issue Date: 2014-02-13 11:18:50 (UTC+8)
    Abstract: 即時迅速的檢測與辨識影像中的人臉,是件具挑戰性的研究工作。本文提出一個 快速有效的人臉檢測方法,藉由人臉五官特性;利用Sobel filter找出水平邊緣 ,再以彼此間相對位置的特性;設計出運算遮罩,來達成人臉可疑區域的快速定 位。最後利用BPNN演算法進行人臉的確認,以有效排除非人臉區域。本文採用視 訊卡與CCD搭配成即時(Live video)影像人臉檢測系統。其運算速度在PC電腦 (Pentium 4 1.8G)上執行。平均每張彩色影像(256*384*1.6M)僅使用0.05秒 。採用FERET(256*384*256)灰階圖像人臉資料庫,平均每張大約0.02秒。系統 檢測定位人臉時間極短。準確率幾近有95%正確率。
    Relation: 2003年全國計算機會議論文集 (II):二十一世紀資訊時代的挑戰=Proceedings of 2003 National Computer Symposium (II),頁1049-1056
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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