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Facial video age progression considering expression change

Published: 27 June 2017 Publication History

Abstract

This paper proposes an age progression method for facial videos. Age is one of the main factors that changes the appearance of the face, due to the associated sagging, spots, and wrinkles. These aging features change in appearance depending on facial expressions. As an example, we see wrinkles appear in the face of the young when smiling, but the shape of wrinkles changes in older faces. Previous work has not considered the temporal changes of the face, using only static images as databases. To solve this problem, we extend the texture synthesis approach to use facial videos as source videos. First, we spatio-temporally align the videos of database to match the sequence of a target video. Then, we synthesize an aging face and apply the temporal changes of the target age to the wrinkles appearing in the facial expression image in the target video. As a result, our method successfully generates expression changes specific to the target age.

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Ira Kemelmacher-Shlizerman, Supasorn Suwajanakorn, and Steven M Seitz. 2014. Illumination-aware age progression. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3334--3341.
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  1. Facial video age progression considering expression change

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    CGI '17: Proceedings of the Computer Graphics International Conference
    June 2017
    260 pages
    ISBN:9781450352284
    DOI:10.1145/3095140
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 June 2017

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    Author Tags

    1. age progression
    2. facial video
    3. video editing

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    • Short-paper

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    CGI '17
    CGI '17: Computer Graphics International 2017
    June 27 - 30, 2017
    Yokohama, Japan

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