| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士在職專班 === 99 === This paper presents an automated synthesis system that can automati-cally estimate the age of the input image and perform facial classification, facial targeting and synthesis wrinkles of human ages. The computer auto-matically prediction the age of test image, that be the basis to synthetic im-ages, and will search the feature points of the face image by ASM algorithm, that will be the reference for facial component alignment. After that, we use the classifier to find the most similarly reference image in the database, and analysis the texture of the test image and reference image with Log-Gabor wavelet that can extraction the texture features about aging in-formation and wrinkle. Finally, we can simulate a series of facial images in the different period that will be younger or older than the test image.
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