{"id":10939,"date":"2026-08-26T20:54:26","date_gmt":"2026-08-26T12:54:26","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=10939"},"modified":"2026-08-29T19:32:30","modified_gmt":"2026-08-29T11:32:30","slug":"a-simple-face-aging-reverse-aging-synthesis-method-using-log-gabor-wavelet","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=a-simple-face-aging-reverse-aging-synthesis-method-using-log-gabor-wavelet","title":{"rendered":"A Simple Face Aging\/Reverse-Aging Synthesis Method Using Log-Gabor Wavelet"},"content":{"rendered":"\n
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<\/i> 2013<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 16, Issue 4<\/a><\/p>\n<\/div>\n\n\n\n

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Ching-Tang Hsieh<\/i><\/a>, Chia-Shing Hu and Yu-Cheng Lee<\/p>\n\n\n\n

Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.<\/p>\n<\/div>\n\n\n\n

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Received: January 6, 2011
Accepted: July 2, 2012
Publication Date: December 1, 2013<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Concept of AdaBoost algorithm.<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:  BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.2013.16.4.05<\/a>  <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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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.<\/p>\n\n\n\n

Keywords: Face Detection; Log-Gabor Wavelet; AdaBoost Algorithm; Aging Synthesis<\/em><\/p>\n\n\n\n

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