Limited-angle positron emission tomography systems can be placed next to the anatomical area of interest, improving their spatial resolution and diagnostic sensitivity. However, the incomplete angular sampling makes the reconstruction process susceptible to image artifacts and anisotropic spatial resolution. In this work, I show that combining total variation (TV) minimization with the maximum ...

This paper presents a knowledge-based approach for automatic 3D building reconstruction. By combining the aerial image analysis with information from GIS maps and domain specific knowledge the complexity of the building reconstruction process can be greatly reduced. The building reconstruction process is described as a tree search in the space of possible building hypotheses. To guide the searc...

Event reconstruction plays a critical role in solving physical crimes by explaining why a piece of physical evidence has certain characteristics. With digital crimes, the current focus has been on the recognition and identification of digital evidence using an object's characteristics, but not on the identification of the events that caused the characteristics. This paper examines digital event...

In this paper the two indirect conductivity distribution reconstruction algorithms in electrical tomography are presented. The first algorithm based on the previous resistivity reconstruction and the second one based on the usage of the inverse measured voltages. Efficiency of the presented algorithms is compared with the efficiency of the direct conductivity distribution reconstruction algorit...

Surface reconstruction is the process to achieve three-dimensional complex surface model quickly and accurately from three-dimensional data obtained as a sample, that is widely used in reverse engineering. Reverse engineering of geometric shapes is the process of converting a large number of measured data points into a concise and consistent computer representation. Reconstruction of a 3-D obje...

In this paper, we propose a clustering approach for solving the problem of reconstructing cross-cut shredded documents. This problem is important in the field of forensic science. Unlike other clustering approaches which are applied as a preprocessing step before the actual reconstruction algorithms, our clustering approach is part of the reconstruction process itself. We define a new cost func...

In this paper we address some fundamental issues pertaining to the dynamic reconstruction of a chaotic process, given an observable time series of the process. The issues considered are (1) the stability of an iterated prediction system built around a predictive model, and (2) the accuracy of dynamic reconstruction. Although these two issues address different aspects of the problem, in a practi...

With the advent of photo sharing sites like Flickr and Picasa, there has been a growing interest in crowd-sourced modeling and large scale reconstruction using the rich source of Internet imagery. Feature correspondence estimation across multiple images and the global optimization of 3D structure and camera parameters (bundle adjustment) are the primary computational bottlenecks in large scale ...

for the first time we have used eyelid skin expansion to facilitate reconstruction of selected patients with shortage of lid skin (e.g. for burn scar and after excision of tumors). this method allows for a controlled increase in skin, need for reconstruction, and offers many advantages over grafted skin transfered from a distance. color, texture, thinness, delicacy and adnexal structures are ae...

Cells dissociated from swimming embryos of the starfish are able to reconstruct bipinnaria larvae. This process consists of reaggregation (stage 1), formation of the external epithelium (stage 2), development of the internal cavities which will eventually grow either into the blastocoel or the intestinal lumen (stage 3), gastrulation or fusion of the internal and the external epithelia (stage 4...