Volume rendering techniques have been developed for decades and have been widely
applied in many research fields, such as medical image visualization, geological …

Direct volume rendering (DVR) visualization helps interpretation because it allows users to
focus attention on the subset of volumetric data that is of most interest to them. The ideal …

We present a volume exploration framework, FeatureLego, that uses a novel voxel
clustering approach for efficient selection of semantic features. We partition the input volume …

Selecting meaningful features is central in the analysis of scientific data. Today's multivariate
scientific datasets are often large and complex making it difficult to define general features of …

We present a novel approach for volume exploration that is versatile yet effective in isolating
semantic structures in both noisy and clean data. Specifically, we describe a hierarchical …

Direct volume rendering (DVR) is a volume visualization technique that has been proved to
be a very powerful tool in many scientific visualization domains. Diagnostic medical imaging …

Advances in imaging devices have led to ubiquitous use of volume data for analysis in
research and medical practice. Visualization of 3D semantic structures is a fundamental task …

We present a clustering algorithm that classifies the points of a dataset by a combination of
scalar variables' values as well as spatial locations. How heavily the spatial locations impact …

Existing feature flow animation techniques do not address texture aliasing or distortion when
a critical point moves along some designated path. In this paper, we provide a smooth …

abstract Volume rendering techniques have been developed for decades and have been
widely applied in many research fields, such as medical image visualization, geological …