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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93448

    Title: A Simple Face Aging/Reverse-Aging Synthesis Method Using Log-Gabor Wavelet
    Authors: Hsieh, Ching-Tang;Hu, Chia-Shing;Lee, Yu-Cheng
    Contributors: 淡江大學電機工程學系
    Keywords: Face Detection;Log-Gabor Wavelet;AdaBoost Algorithm;Aging Synthesis
    Date: 2013-12
    Issue Date: 2014-01-10 21:38:22 (UTC+8)
    Publisher: 新北市:淡江大學
    Abstract: A face aging/reverse-aging synthesis method based on face detection and Log-Gabor wavelet is proposed. Source images are first captured by the AdaBoost face detection algorithm and then individually normalized. A reference image from the target age group that closely resembles the test subject’s face is then selected. Because the Log-Gabor wavelet is characterized by a broader bandwidth and takes less time to search a wide range of spectral information then the Gabor wavelet, the Log-Gabor wavelet method is used to determine the aged skin surface topography and the decomposition map is obtained. By adjusting the number of details to be extracted from the decomposition map, we can effectively synthesize facial images for different age groups. Experimental results are verified with wrinkle density estimation.
    Relation: Journal of Applied Science and Engineering=淡江理工學刊 16(4), pp.375-384
    DOI: 10.6180/jase.2013.16.4.05
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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