Anwaar, Muhammad and Loo, Chu Kiong and Seera, Manjeevan (2020) Face image synthesis with weight and age progression using conditional adversarial autoencoder. Neural Computing & Applications, 32 (8). pp. 3567-3579. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-019-04217-6.
Full text not available from this repository.Abstract
The appearance of a human face changes with the change in body weight and age. With varying lifestyle choices, it is hard to imagine the appearance of a given human face in years to come. Future self-perception is highly associated with one's emotional state, as well as health behavior. Negative future self-perception can cause negative lifestyle choice and negative health behavior, leading to depression and eating disorder. In this paper, a new methodology is introduced for future self-face image synthesis using age and weight, resulting in visualization of future face image derived from given weight category and age. A Constrained Local Model is first used for weight progressed future face image synthesized and then age-progressed future face image is generated using Conditional Adversarial Auto Encoder. In the final step, both weight progressed and age-progressed face images fed to face morphing module which synthesized future face image by keeping natural looks. Experimental results show the advantages of proposed method with promising results.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Age progression; Face simulation; Face synthesis; Weight synthesis |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 16 Feb 2024 01:58 |
| Last Modified: | 16 Feb 2024 01:58 |
| URI: | http://eprints.um.edu.my/id/eprint/36774 |
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