It is known that the stationary distribution of the random walk process is dependent on the structure of the network. This could provide us a solution of the network reconstruction. However, the stationary distribution of the random walk process can only reflect the relative size of node degrees directly, how to infer the real connection is still a problem. In this paper, we will propose a meth...

INTRODUCTION Generalized reconstruction frameworks allowing correction of nonrigid displacements during MR acquisition (inter-view motion) have been proposed recently [1,2]. Their main drawback is their computational complexity which makes them currently impractical for clinical use. Based on the properties of the point-spread function (PSF) describing the occurrence of motion-artifacts, we pro...

In this paper, we combine Kazhdan’s FFT-based approach to surface reconstruction from oriented points with adaptive subdivision and partition of unity blending techniques. The advantages of our surface reconstruction method include a more robust surface restoration in regions where the surface bends close to itself and a lower memory consumption. The latter allows us to achieve a higher reconst...

Advances in computed tomography and availability of high performance computing in the last decade have shown importance of iterative reconstruction in combination with statistical methods. An attempt is made to compare two existing iterative methods used for reconstruction namely ART and SART. The results show that ART is a highly computational intensive and time taking process compared to SART...

Anterior cruciate ligament reconstruction has evolved significantly since the early 1900's, back when an emphasis was placed on repair and not reconstruction. Over the past century, the technique has evolved from intra-articular non anatomic reconstruction, to extra articular reconstruction, back to intra articular (performed arthroscopically), to now, the advent of anatomic insertion site rest...

The reconstruction of 3D objects based on point clouds data presents a major task in many application field since it consumes time and require human interactions to yield a promising result. Robust and quick methods for complete object extraction or identification are still an ongoing research topic and suffer from the complex structure of the data, which cannot be sufficiently modeled by purel...

In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With this linkage we want to enhance the reconstruction result and to yield semantic information about the buildings. We introduce building models based on their topology. We also may use data from diff...

We consider the problem of reconstructing a multidimensional and multivariate function f : R → R from the discretely and irregularly sampled responses of q linear shift-invariant filters. Unlike traditional approaches which reconstruct the function in some signal space V , our reconstruction is optimal in the sense of a plausibility criterion J . The reconstruction is either consistent with the...

Recovery and reconstruction from the Great East Japan Earthquake is still ongoing. In this special feature, we summarize the current situation of the recovery and reconstruction from the Great East Japan Earthquake (GEJE) and the efforts of the Japanese government; we also introduce the process of tackling the challenges of the recovery and reconstruction through science and technology, in acco...

In this work, we present a combined approach to tracking and reconstruction. An implicit feedback of 3d information to the tracking process is achieved by optimizing a single error function, instead of two separate steps. No assumptions about the error distribution of the tracker are needed in the reconstruction step either. This results in higher reconstruction accuracy and improved tracking r...