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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/102586

    Title: 基於人臉年齡變化模式之年齡估計
    Other Titles: Age estimation based on facial aging patterns
    Authors: 魏士閔;Wei, Shih-Min
    Contributors: 淡江大學資訊工程學系資訊網路與通訊碩士班
    林慧珍;Lin, Hwi-Jen
    Keywords: 年齡變化模式;外觀模型;主成分分析;二維主成分分析;線性內插;Aging pattern;Appearance Models;PCA;2DPCA;Linear interpolation
    Date: 2014
    Issue Date: 2015-05-04 09:59:29 (UTC+8)
    Abstract: 本篇論文對X. Geng et al. 所提的人臉影像重建與年齡估計方法加以改進與解決其潛在的一些問題。對於訓練樣本中每一aging pattern中的遺失影像,以結合內插影像與該年齡的平均影像之加權平均結果來填補,填補後的結果稱之為 “全填滿年齡變化模式” (full-filled aging pattern)。相對於X. Geng et al. 使用PCA,本篇論文利用2DPCA訓練求得一個轉換矩陣,用來重建aging pattern中的遺失影像與估計人臉影像之年齡。在實驗中我們試不同年齡間距與不同長度之aging patterns訓練轉換矩陣,探討不同的因素如何影響測試結果。
    This paper proposes an age estimation method that improves the method proposed by Xin Geng et al. in some respects: (1). Time efficiency is improved by using 2DPCA instead of PCA. (2). To solve the problem of having infinitely many solutions inherent in the system for solving the projection vectors, we modified the coefficient matrix of the system so the unique solution can be easily evaluated. (3). The proposed method was tested in several fashions to analyze possible factors that cause some problems.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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