Users' Trajectory Training Dataset

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.

训练轨迹数据集采集自真实用户在本交互式三维可视化框架中探索体数据集时的操作轨迹。所采集的训练数据集格式为笛卡尔空间内视点（POV）的轨迹数据。我们采用多个具备差异化空间特征与传递函数的体数据集，以采集覆盖全面的轨迹训练数据集。每位用户的初始视点均为随机选取。为提升数据分布的均匀性，我们会对采集到的训练轨迹进行清洗操作，移除因用户误操作产生的视点离群点。由于训练轨迹覆盖了包含体数据的完整空间域，而非仅聚焦于小块感兴趣区域，因此其分布具备平衡性。本次可视化任务的目标为，通过探索操作辅助每位用户定位其所需的感兴趣区域。