2022 3.13 - Content-Aware Brightness Solving and Error Mitigation in Large-Scale Multi-Projection Mapping/ClipID:45847 previous clip next clip

The automatic subtitles generated using Whisper Open AI in this video player (and in the Multistream video player) are provided for convenience and accessibility purposes. However, please note that accuracy and interpretation may vary. For more information, please refer to the FAQs (Paragraph 14).
Recording date 2022-11-25

Via

Free

Language

English

Organisational Unit

Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Projection mapping with inexpensive hardware often suffers from calibration errors that lead to visually compromised results. In this paper, we classify common errors that lead to typical visual artifacts. Based on this classification, we present the first content-aware brightness solver. It is tailored for high GPU performance, yet efficiently hides the most common calibration artifacts. Moreover, it is specifically designed to handle both single and larger networked projection mapping setups with minimal latency.

More clips in this category "Technische Fakultät"

2024-05-17
Studon
protected  
2024-05-15
IdM-login
protected  
2024-05-15
Studon
protected  
2024-05-22
IdM-login
protected  
2024-05-15
Studon
protected