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Users' Trajectory Training Dataset
- Citation Author(s):
- Submitted by:
- Jianxin Sun
- Last updated:
- Mon, 06/10/2024 - 16:11
- DOI:
- 10.21227/7qfn-t458
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Abstract
The training trajectory datasets are collected from real users when exploring the volume dataset on our interactive 3D visualization framework. The format of the training dataset collected is trajectories of POVs in the Cartesian space. Multiple volume datasets with distinct spatial features and transfer functions are used to collect comprehensive training datasets of trajectories. The initial point is randomly selected for each user. Collected training trajectories are cleaned by removing POV outliers due to users' misoperations to improve uniformity. The distribution of the training trajectories is balanced for they span the whole domain containing the volume rather than only focusing on a small region of interest. The visualization task is to locate the regions of interest to each user through exploration.