Image-guided diagnosis and therapy are widely used in medicine nowadays. Going one step further involves methods that allow physicians to further improve their diagnosis and to plan therapy or surgery by quantitative analysis and simulation. A fundamental requirement for this kind of quantitative medicine are methods for reliable creation of 3D patient models that faithfully represent the indiv...

We present an intuitive method to generate visually convincing 3D models of indoor environments from data collected by a single 2D laser range finder and a color camera. The 2D map created from the laser data forms the basis of a line model which serves as floor plan for the 3D model. The walls of this model are textured using the color images. In contrast to panoramic images where the resoluti...

This paper presents novel 2D geospatial-based predictive models for exploring the complex thermal spatial behavior of three-dimensional (3D) die stacked multi-core processors at the early design stage. Unlike other analytical techniques, our predictive models can forecast the location, size and temperature of thermal hotspots. We evaluate the efficiency of using the models for predicting within...

Spinal dural arteriovenous fistulas (AVFs), being the most commonly encountered spinal vascular malformations, result in considerable morbidity with progressive spinal cord symptoms. A selective spinal digital subtraction angiography (DSA) is needed to confirm the diagnosis, to better evaluate the fine vascular structures and to plan therapy. With the introduction of three-dimensional rotationa...

Heat and air conditioning losses in buildings and factories lead to a large amount of wasted energy. The Action Plan for Energy Efficiency of the Commission of the European Communities (2008) estimates that the largest cost-effective energy savings potential lies in residential (≈ 27%) and commercial (≈ 30%) buildings. Imagine a technology that creates a precise digital 3D model of heat distrib...

Open architectures demand for a federation of data from different context providers, which nearly always will be inconsistent to a certain degree. We present an approach for the evaluation and presentation of inconsistencies in multiply represented 3D building models and provide means for the minimization of ground plan inconsistencies. The presented approaches are tested using differently deta...

In this article, two methods for data collection in urban environments are presented. The first method combines multispectral imagery and laser altimeter data in an integrated classification for the extraction of buildings, trees and grass-covered areas. The second approach uses laser data and 2D ground plan information to obtain 3D reconstructions of buildings. q 1999 Elsevier Science B.V. All...

The freely accessible geospatial information in Halden holds a very high standard. Based on this content and the proposed technology, the municipality enters a model of the house (garage, church, etc.) into the automaticallygenerated online 3D model of Halden. Both the public and the authorities can inspect the plan in Mixed Reality (MR) on-site using their preferred wireless device, and give f...

Radiation therapy, an increasingly available and effective cancer treatment solution, involves sophisticated machinery as well as careful planning. Interactive 3D simulations combined with accurate 3D patient specific data can improve the planning process saving time and resources in generating the optimal treatment plan. We illustrate the potential of X3D in radiation therapy, specifically rad...

Motion estimation (ME) is a key encoding component of almost all modern video coding standards. ME contributes significantly to video coding efficiency, but, it also consumes the most power of any component in a video encoder. In this paper, an ME processor with 3D stacked memory architecture is proposed to reduce memory and core power consumption. First, a memory die is designed and stacked wi...