Depth perception in volumetric visualization plays a crucial role in the understanding and interpretation of volumetric data. Numerous visualization techniques, many of which rely on physically based optical effects, promise to improve depth perception but often do so without considering camera movement or the content of the volume. As a result, the findings from previous studies may not be directly applicable to crowded volumes, where a large number of contained structures disrupts spatial perception. Crowded volumes therefore require special analysis and visualization tools with sparsification capabilities. Interactivity is an integral part of visualizing and exploring crowded spaces, but has received little attention in previous studies. To address this gap, we conducted a study to assess the impact of different rendering techniques on depth perception in crowded volumes, with a particular focus on the effects of camera movement. The results show that depth perception considering camera motion depends much more on the content of the volume than on the chosen visualization technique. Furthermore, we found that traditional rendering techniques, which have often performed poorly in previous studies, showed comparable performance to physically based methods in our study.

翻译：体绘制中的深度感知对于体积数据的理解和解释至关重要。许多可视化技术（其中许多依赖于基于物理的光学效应）有望改善深度感知，但往往未考虑摄像机运动或体积内容。因此，先前研究的发现可能无法直接适用于拥挤体——其中大量包含的结构会干扰空间感知。拥挤体因此需要特殊分析和具备稀疏化能力的可视化工具。交互性是可视化和探索拥挤空间的重要组成部分，但在先前研究中鲜有关注。为填补这一空白，我们开展了一项研究，评估不同渲染技术对拥挤体深度感知的影响，特别关注摄像机运动的作用。结果表明，考虑摄像机运动时的深度感知更多地取决于体积内容而非所选可视化技术。此外，我们发现在先前研究中表现欠佳的传统渲染技术，在本研究中展现出与基于物理的方法相当的性能。