A Trigger-Based Approach for Optimizing Camera Placement Over Time
DescriptionWe contribute a new approach for in situ automation of camera placement over time. Our approach incorporates triggers, regularly evaluating the current camera placement and searching for a new camera placement when a trigger fires. We evaluate our approach running in situ with five data sets from two simulation codes, considering camera placement quality (evaluated using a viewpoint quality metric) and overhead (number of camera positions evaluated). We find that our approach has a significant – reduced overhead with similar quality – compared to the naive approach of searching for a new camera placement each cycle.
Event Type
Workshop
TimeSunday, 13 November 202210:40am - 11:05am CST
LocationC143-149
W
Accelerator-based Architectures
Data Analytics
In Situ Processing
Scientific Computing
Visualization
Workflows
Recorded
