In this paper we describe a method of determining the separation plane of two objects during collision detection. This method is specifically designed for volumetric particle representations of objects, volpars. This particular technique offers an advantage over previous methods because it only looks for a separating plane for the areas local to the point of contact. This increases the robustne...

We introduce a new framework for non-linear, non-reconstructive deformation of volumetric datasets. Traditional techniques for deforming volumetric datasets non-linearly usually involve a reconstruction stage, where a new deformed volume is reconstructed and then sent to the renderer. Our intuitive sweep-based technique avoids the drawbacks of reconstruction by creating a small attribute field ...

Background/introduction Many applications of thermal therapy would benefit from temperature distribution measurements with high spatial and temporal resolution that cover a large 3D volume. Although MRI can acquire 3D temperature measurements, it is not possible to obtain fully sampled 3D MRI measurements that cover the insonified field of view with sufficient spatial and temporal resolution fo...

Image segmentation plays a crucial role in effective understanding of digital images, planar or volumetric images. The current research in graph based methods is oriented towards producing approximate solution (or sub-optimal solution) for such graph matching problem to reduce processing time. We are introducing an algorithm for volumetric segmentation based on virtual tree-hexagonal structure ...

We introduce an image-based representation, called volumetric billboards, allowing for the real-time rendering of semi-transparent and visually complex objects arbitrarily distributed in a 3D scene. Our representation offers full parallax effect from any viewing direction and improved anti-aliasing of distant objects. It correctly handles transparency between multiple and possibly overlapping o...

We consider the volumetric barrier for semideenite programming, or \generalized" volumetric barrier, as introduced by Nesterov and Nemirovskii. We extend several fundamental properties of the volumetric barrier for a polyhedral set to the semideenite case. Our analysis facilitates a simpliied proof of self-concordancy for the semideenite volu-metric barrier, as well as for the combined volumetr...

Figure 1. This overview image displays the 3D streamlines representing the DTI tracks, several functional areas, the vasculature and the underlying anatomy clipped at an oblique angle. The focus of this poster is the addition of the track geometry to an existing fMRI visualization application. On the right we can see the cortical spinal track (cyan) projecting from the left hand motor region (g...

We address the problem of constructing appearance-preserving level of details (LoDs) of complex 3D models such as trees. We propose a hybrid method that combines the strengths of mesh and volume representations. Our main idea is to separate macroscopic (i.e. larger than the target spatial resolution) and microscopic (sub-resolution) surfaces at each scale and to treat them differently, because ...

The quality of brain tumor resection surgery is dependent on the spatial agreement between preoperative image and intraoperative anatomy. However, brain shift compromises the aforementioned alignment. Currently, the clinical standard to monitor brain shift is intraoperative magnetic resonance (iMR). While iMR provides better understanding of brain shift, its cost and encumbrance is a considerat...

It has often been observed that colour is a highly preferred attribute for use in distinguishing descriptions, that is, referring expressions with the purpose of identifying an object within a visual scene. However, most of these observations were based on visual displays containing only colours that were maximally different in hue and for which the language of experimentation possessed basic c...