Real-Time Reflection Reduction from Glasses in Videoconferences

Surrounding lighting conditions cannot always be sufficiently controlled during videoconferences, yielding situations in which disturbing reflections might appear on the participants glasses. In this article, we present a retrained neural network to convincingly reduce such reflections. For real time performance we propose an asynchronous processing pipeline accompanied by a head pose-based caching strategy to reuse intermediate processing results. The implementation as virtual webcam allows the system to be used with arbitrary videoconferencing systems.