Name
Abstract | ||
|---|---|---|
Facial analysis is an active research area in computer vision, with many practical applications. Most of the existing studies focus on addressing one specific task and maximizing its performance. For a complete facial analysis system, one needs to solve these tasks efficiently to ensure a smooth experience. In this work, we present a system-level design of a real-time facial analysis system. With ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MMSP53017.2021.9733663 | 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP) |
Keywords | DocType | ISBN |
Face recognition,Surveillance,Computer architecture,Switches,Object detection,Signal processing,Real-time systems | Conference | 978-1-6654-3288-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bishwo N. Adhikari | 1 | 1 | 2.05 |
| Xingyang Ni | 2 | 2 | 1.71 |
| Esa Rahtu | 3 | 832 | 52.76 |
| Heikki Huttunen | 4 | 244 | 28.20 |