Volume Rendering for Multiple Volume Datasets Using Particle Fusion
نویسندگان
چکیده
منابع مشابه
High-quality particle-based volume rendering for large-scale unstructured volume datasets
In this article, we propose a technique for improving the image quality of particle-based volume rendering (PBVR). A large-scale unstructured volume dataset often contains multiple sub-volumes, which cannot be ordered by visibility. PBVR can handle this type of volume dataset. Sampling misses often occur when the transfer function undergoes drastic changes, which can result in poor image qualit...
متن کاملStochastic Particle-Based Volume Rendering
In this paper we propose a particle-based volume rendering approach for unstructured three-dimensional tetrahedral polygon meshes. We stochastically generate millions of particles per second that are projected on the screen in real-time. In contrast to previous rendering techniques of tetrahedral volume meshes, our method does not need a prior depth sorting of geometry. Instead, the rendered im...
متن کاملSegmentation Assisted Object Distinction for Direct Volume Rendering
Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...
متن کاملVentricular shape visualization using selective volume rendering of cardiac datasets
In this paper, we present a novel technique of improving volume rendering quality and speed by integrating original volume data and global model information attained by segmentation. The segmentation information prevents object occlusions that may appear when volume rendering is based on local image features only. Thus the presented visualization technique provides meaningful visual results tha...
متن کاملFast Volume Rendering of Sparse Datasets Using Adaptive Mesh Refinement
In this paper we present an algorithm that accelerates 3D texturebased volume rendering of large and sparse data sets. A hierarchical data structure (known as AMR tree) consisting of nested uniform grids is employed in order to efficiently encode regions of interest. The hierarchies resulting from this kind of space partitioning yield a good balance between the amount of volume to render and th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Visualization Society of Japan
سال: 2007
ISSN: 1884-037X,0916-4731
DOI: 10.3154/jvs.27.supplement1_43