检索结果-内蒙古大学图书馆

Interactive Occlusion-Free System for Accessible Volume exploration

IEEE ACCESS 2023年 11卷 86544-86560页

作者： Sun, Jing-Ru Josephine, Nathania Wang, Chao Wang, Ko-Chih Natl Taiwan Normal Univ Dept Comp Sci & Informat Engn Taipei 11677 Taiwan

When exploring a 3d medical dataset, data occlusion creates difficulties for users to understand the dataset in detail since many internal structures are occluded. Techniques such as transfer function design, isosurface extraction, etc., have been proposed in the past to address the occlusion problem and assist expert users in exploring volumetric data. However, these techniques may not be feasible for some non-expert users' scenarios, such as science museum visitors exploring a brain CT image data volume on a large touch screen or high school students learning the human body structure on a tablet because they have no need to conduct long-term data exploration and rigorous scientific analysis. To address the non-expert users' need for an easy-to-use data exploration tool, we propose an interactive data exploration system for non-expert users to interact with the dataset with a short learning time and simple inputs. Non-expert users can remove the obstructing material to reveal the occluded structures by simply clicking on the obstructing material. Our system also preserves the context for non-expert users to understand the dataset after the obstructing material is removed easily. Additionally, for data providers such as the engineers in a museum, our system provides a semi-automatic workflow to set up a dataset into our system for non-expert users. In this work, we conduct two user studies to evaluate our system's usability.

关键词： ~3d data visualization and exploration human-computer interaction occlusion management

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