We present a 3D photography method that generates a texture-mapped three-dimensional model of a scene computed from multi-view calibrated two-dimensional photographs. Our approach first performs probabilistic space carving, which results in a 3D grid of voxel probabilities that describe the likelihood of a voxel existing in the model. We then employ a three-dimensional geodesic active surface t...

In traditional animation, keyframes are modeled and standard graphics pipeline is used to animate the scene. In this paper we consider volume animation where the 30 world and its components are represented as a voxel model. The voxel model is annotated with hierarchical feature information and thus facilitates easy volume editing. These annotations are based on regularised Minkowski operators u...

We present a 3D photography method that generates a texture-mapped three-dimensional model of a scene computed from multi-view calibrated two-dimensional photographs. Our approach first performs probabilistic space carving, which results in a 3D grid of voxel probabilities that describe the likelihood of a voxel existing in the model. We then employ a three-dimensional geodesic active surface t...

At the typical spatial resolution of MRI in human brain, approximately 60–90% voxels contain multiple fiber populations. Quantifying microstructural properties distinct populations within a voxel is therefore challenging but necessary. While progress has been made for diffusion and T1-relaxation properties, how to resolve intra-voxel T2 heterogeneity remains an open question. Here novel framewo...

In MRI and fMRI, images or voxel measurement are complex valued or bivariate at each time point. Recently, (Rowe, D.B., Logan, B.R., 2004. A complex way to compute fMRI activation. NeuroImage 23 (3), 1078-1092) introduced an fMRI magnitude activation model that utilized both the real and imaginary data in each voxel. This model, following traditional beliefs, specified that the phase time cours...

We present a system for markerless motion capture by using labelled voxels which can recover human posture of the subsequent frames robustly and precisely on temporal coherence. The system uses 3D voxel data reconstructed from multiple synchronized video streams as input, and initialize the model posture by segmented silhouette, and then labeling the voxel data of next frame by fitting the huma...

Our goal is to model the coupling between neuronal activity, cerebral metabolic rates of glucose and oxygen consumption, cerebral blood flow (CBF), electroencephalography (EEG) and blood oxygenation level-dependent (BOLD) responses. In order to accomplish this, two previous models are coupled: a metabolic/hemodynamic model (MHM) for a voxel, linking BOLD signals and neuronal activity, and a neu...

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...

Abstract Deformable image registration (DIR) is an important component for dose accumulation and associated clinical outcome evaluation in radiotherapy. However, the resulting deformation vector field (DVF) subject to unavoidable discrepancies when different algorithms are applied, leading dosimetric uncertainties of accumulated dose. We propose here approach proton therapy estimate as a conseq...

We present a F+C volume rendering system aimed at outlining structural relationships between different classification criteria of a multiclassified voxel model. We clusterize the voxel model into subsets of voxels sharing the same classification criteria and we construct an auxiliary voxel model storing for each voxel an identifier of its associated cluster. We represent the logical structure o...