| Proj No. | A3007-251 |
| Title | Convolutional Neural Net based Face Recognition with Accessories |
| Summary | This project proposes to use convolutional neural network to recognize faces occluded with accessory (such as mask, sunglasses) based on training performed on un-occluded faces (without the accessory). For persons included in the training, the face recognition system should be able to detect the person in spite of the presence of the accessory. For any other person, the system should detect the face as unauthorized. This project is software based, and may use python (or any other platform) with suitable library. The project may involve sub-tasks such as face database creation and face image pre-processing. |
| Supervisor | A/P Anamitra Makur (Loc:S1 > S1 B1C > S1 B1C 103, Ext: +65 67904013) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Machine Learning and Data Analytics Lab (Loc: S2.1, B4-01) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |