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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
F17-full.pdf | Plný text | 4,78 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/54422
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