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頁籤選單縮合
題 名 | Human Face Recognition Using Thermal Image=熱影像應用於人臉之辨識 |
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作 者 | 陳淵琮; 王明習; | 書刊名 | Journal of Medical and Biological Engineering |
卷 期 | 22:2 2002.06[民91.06] |
頁 次 | 頁97-102 |
分類號 | 410.1644 |
關鍵詞 | 熱影像; 人臉辨識; 類神經網路; Thermogram; Human face recognition; Neural network; |
語 文 | 英文(English) |
中文摘要 | 本文中利用紅外線攝影機擷取人之臉部所散發之熱分佈影像以進行人臉辨識,熱影像經過前處理後,再擷取與溫度分佈有關之相關特徵資料,所擷取之特徵資料包括溫度統計分佈、臉部邊緣長度、包含臉部之最小矩形之長寬比、以及兩頰與下巴三個部位之溫度最低點之距離,並使用三層架構的倒傳遞類神經網路作為辨識的工具,辨識的過程包括兩個步驟:訓練與測試。吾人從參與拍攝20人中收集樣本,參與拍攝20人中有16人有戴眼鏡。全部的樣本包括200張未戴眼鏡影像以及196張戴眼鏡影像。利用溫度分布與人臉空間的特徵資料交叉組合測試,從實驗得知,未戴眼睛與戴眼鏡的辨識率分別可達95%與93%。從實驗的結果得知,利用熱影像來進行人臉辨識是個很可行的方法。 |
英文摘要 | In this paper, thermogram was used to do human face recognition. The thermogram of human face was captured from infrared camera. Image processing technologies were used to preprocess the captured thermogram. Then several features were extracted from the processed thermogram. These features included the distribution of temperature statistics, the perimeter of the face, the length/width ratio of the smallest rectangle which contained the face, and the triangle formed from the three lowest temperature points of the two cheeks and the chin. A three-layer back-propagation neural network was used as the recognition tool. The samples were collected from 20 individuals, 16 of them with glasses. The total samples have 200 for without glasses and 96 for with glass. Different combinations of the extracted features were tested. It is shown that the recognition rates for without glasses and with glasses are 95% and 93%, respectively. The experimental results encourage the application of thermogram for human face recognition. |
本系統中英文摘要資訊取自各篇刊載內容。