Continuous Discriminant Latent Topic Model (CD-LTM) for Facial Expression Recognition and Generation
Dr Chan, Kwok Ping (Principal investigator)
Latent Tropic Models, Facial Expression Recognition, Facial Expression Generation, Latent Dirichlet Allocation
Artificial Intelligence (Obsolete),Others - Computing Science and Information Technology
RGC General Research Fund (GRF)
HKU Project Code
General Research Fund (GRF)
1) Based on our Temporal Latent Topic Model, we will model the correlation between topics, so that the model is more accurate; 2) Maximum Margin Learning will be incorporated to provide better discriminant information for the model; 3) A Continuous input model will be developed, which should provide better performance as compared to discrete input models; 4) More facial expression data will be collected as the current CMU database used in our study is limited; 5) Facial expression generation system will be built based on the generative Latent Topic Model obtained in the recognition process.