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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35895

    Title: Log-Gabor小波為基礎之人臉合成系統
    Other Titles: Facial image aging synthesis based on log-gabor wavelet
    Authors: 李祐丞;Lee, Yu-cheng
    Contributors: 淡江大學電機工程學系碩士班
    謝景棠;Hsieh, Ching-tang
    Keywords: 人臉偵測;Log-Gabor 小波;AdaBoost演算法;年齡合成;Face detection;Log-Gabor wavelet;Adaboost algorithm;Aging synthesis
    Date: 2009
    Issue Date: 2010-01-11 07:17:20 (UTC+8)
    Abstract: 近年來,已出現了許多臉部影像合成之應用,例如:視覺娛樂、電影動畫製作、遊戲、化妝品測試、找尋失踪人口…等。而在這當中,為了找尋失踪人口進而預測出不同年齡之人臉合成,便為我們所期望努力的方向。不同年齡人臉的合成操作成為了現今熱門的話題之一。
    At present, there are many application of facial image synthesis by computer graphics such as visual entertainment, movie production, game, cosmetic examinations, and searches for missing persons, etc. For these reason, manipulation of different age on human face become a common problem and the most popular one nowadays.

    In this paper, we propose an approach for manipulating different age texture on human face base on face detection, and Log-Gabor wavelet. First of all, Adaboost algorithm is used to get the main facial features and to normalize them into the same size and same features position of each picture. Second, we find an appropriate target age image which is similar to subject’s image, and then we employ the properties of multi-resolution and multi-channel to extract the decomposition maps of age texture with different age on human face by using Log-Gabor wavelet. Finally, we can effectively manipulate the different age of human face through controlling the amount of decomposition map of target age images to cover on the subject’s faces image.

    Experimental results show that the aging synthesis of facial images can be generated well by using our proposed approach.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

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