Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4948622 | Neurocomputing | 2016 | 13 Pages |
Abstract
Age progression is defined as esthetically re-rendering a face with natural aging or rejuvenating effects in any future age for an individual face. It has become an attracting topic in the field of computer vision field. Typically, a person׳s facial appearances are varying along his/her whole life, such as the shape of facial contour, changes of skin textures, and so on. In the last decade, an increasing number of work on the age progression and the related applications have been reported, e.g., cross-age face analysis, age estimation, entertainment, etc. In this paper, we summarize some recent and impressive age progression methods and give some applications related to age progression. Moreover, some popular face aging databases are introduced and the future directions of the age progression are also discussed.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiangbo Shu, Guo-Sen Xie, Zechao Li, Jinhui Tang,