A Trigger-Based Approach for Optimizing Camera Placement Over Time

We 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 benefit — reduced overhead with similar quality — compared to the naïve approach of searching for a new camera placement each cycle.