Student Posters Repository

Real time human face processing is a quite challenge in today's scientific study. How to save the time and let the system work much more rapid is the core target to this problem.

It is comprehensive work in different areas such as network, data transmission, cloud computing, objective detection and recognition, etc. Our main study is to use the current stable and efficient algorithm and make it in parallel version to find a faster way to improve this progress. In this year, we have tested much bigger database and make our algorithm much more stable than before.