Tomographic images with absolute units have been reconstructed successfully from Small Angle X-ray Scattering (SAXS) intensities of an interdiffusion layer a precipitation strengthened model alloy cut multilayered Al/Al–Zn/Al sample after heat treatment. Cross sectional specimen Zn concentration distribution was obtained the mass attenuation coefficient; volume fraction precipitates SAXS integr...

Voxel-based approaches are today’s standard to encode volume data. Recently, directed acyclic graphs (DAGs) were successfully used for compressing sparse voxel scenes as well, but they are restricted to a single bit of (geometry) information per voxel. We present a method to compress arbitrary data, such as colors, normals, or reflectance information. By decoupling geometry and voxel data via a...

Clustering algorithms have found application in tissue classification in MRI. Standard techniques such as k-means iteratively define intensity clusters based on the distribution of voxels in intensity space. Spectral clustering is potentially more powerful as it models voxel-to-voxel relationships rather than voxel-to-cluster relationships. Unfortunately, for images of n-voxels naive applicatio...

Direct volume rendering techniques allow visualization of volume data without extracting intermediate geometry. The mapping from voxel attributes to optical properties is performed by transfer functions which, consequently, play a crucial role in building informative images from the data. One-dimensional transfer functions, which are based only on a scalar value per voxel, often do not provide ...

Transfer functions are fundamentals for direct volume rendering to visualize object through mapping optical properties to the voxel data values. One aspect of direct volume rendering which has received no attention in transfer function design is the use of voxel position in transfer functions. Often, there are features of interest in volume data that are visualized or not depending on their vox...

Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and projection methods previous works fail to establish relationships between local sets. In this paper, we propose Sparse Voxel-Graph Attention Network (SVGA-Net), novel end-to-end trainable network which mainly contains voxel-graph module sparse-to-dense...

A ray-driven backprojector is based on ray-tracing, which computes the length of the intersection between the ray paths and each voxel to be reconstructed. To reduce the computational burden caused by these exhaustive intersection tests, we propose a fully graphics processing unit (GPU)-based ray-driven backprojector in conjunction with a ray-culling scheme that enables straightforward parallel...