Improving the Face of Cosmetic Surgery - An Automatic 3D Facial Analysis Systsm for Facial Rejuvenation

Bennamoun, Mohammed (Investigator 01)
Molton, Michael (Investigator 02)

Computer Science and Software Engineering

Status	Finished
Effective start/end date	1/01/13 → 31/01/19

Funding

ARC Australian Research Council : A$493,042.00
Epiclinic Pty Ltd: A$375,000.00

Access Project

http://purl.org/au-research/grants/arc/LP130100138

2 Article

Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data
Shah, S. A. A., Bennamoun, M. & Molton, M. K., 2019, In: IEEE Access. 7, p. 23779-23787 9 p., 8642338.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Citations (Scopus)
Evolutionary Feature Learning for 3D Object Recognition
Shah, S. A. A., Bennamoun, M., Boussaid, F. & While, L., 13 Dec 2017, In: IEEE Access. 6, p. 2434-2444 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Citations (Scopus)