Title:	Real-Time Reflection Reduction from Glasses in Videoconferences
Authors:	Tucholke, Marc-André Christoph, Marie Anders, Lasse Ochlich, Raven Grogorick, Steve Eisemann, Martin
Citation:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 168-175.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54422
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Keywords:	odraz;brýle;video konference;zpracování obrazu;hluboké učení;detekce obličeje;reálný čas
Keywords in different language:	reflection;glasses;video conferencing;image processing;deep learning;face detection;real time
Abstract in different language:	Surrounding lighting conditions cannot always be sufficiently controlled during videoconferences, yielding situa tions 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.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2023: Full Papers Proceedings

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