Image Processing Framework for Face Detection and Face Swapping in Group Photo Refinement

Abstract

As the trend of big data and increasingly widespread social networking sites, people are enjoying sharing their daily lives by displaying selfies or group photos online, creating large amount of data, which indicates great effort that online servers or applications may have to spend to edit and process personal photographs. However, human face processing requires elaborate skill that is time-consuming if is operated manually. while image processing, as a crucial research area in fields of AI (Artificial Intelligence), plays its indispensable role of setting us free from these repetitive routines. In order to solve existing problems, this paper proposes a relatively reliable and complete framework to refine photos of human facial expressions of emotions among a set of group photos both partially and wholly based on existing techniques of face detection and face swapping. In addition, this framework also involves procedures of extraction of face features relied on Dlib library. Finally, a set of experimental results and relevant statics are displayed to indicate some future works that have to be carried out.