Abstract | ||
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\"What shall I look like after N years?\" In this paper, we present an Auto Age Progression system, which automatically renders a series of aging faces in the future age ranges and generates an aging sequence (aging video) covering the entire life for an individual input. In the offline stage, a set of age-range specific dictionaries are learned from the constructed database, where the dictionary bases corresponding to the same index yet from different dictionaries form a particular aging process pattern across different age groups, and a linear combination of these patterns expresses a particular personalized aging process. In the online stage, for an input face of an individual, our system renders the aging faces corresponding to different age ranges through the aging dictionaries, and then generates an age progression by the presented face morphing technology. |
Year | DOI | Venue |
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2015 | 10.1145/2733373.2807962 | ACM Multimedia |
Keywords | Field | DocType |
Age progression system,face aging,face morhping | Age progression,Morphing,Linear combination,Computer vision,Age groups,Face aging,Computer science,Artificial intelligence | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangbo Shu | 1 | 375 | 23.97 |
Jinhui Tang | 2 | 5180 | 212.18 |
Luoqi Liu | 3 | 397 | 18.64 |
Zhiheng Niu | 4 | 52 | 3.50 |
Shuicheng Yan | 5 | 9701 | 359.54 |