Fourier methods used in 2and 3-dimensional image reconstruction can be used also in reconstructability analysis (RA). These methods maximize a variance-type measure instead of information-theoretic uncertainty, but the two measures are roughly colinear and the Fourier approach yields results close to those of standard RA. The Fourier method, however, does not require iterative calculations for ...

The Chirp-Scaling Algorithm (CSA) is one of the most widely used synthetic aperture radar (SAR) image reconstruction method. However, its applicability is limited to straight flight trajectories and monostatic SAR. We present a new mathematical treatment of the CSA from the perspective of Fourier Integral Operators theory. Our treatment leads to a chirp-scaling-based true amplitude imaging algo...

A new algorithm for reconstruction of 3D particle fields from plenoptic image data is presented. The algorithm is based on the well-known technique of computational refocusing with the addition of a post reconstruction filter to remove the out of focus particles. This new algorithm is compared to the MART algorithm in terms of reconstruction quality on synthetic particle fields as well as veloc...

We address the 3D reconstruction of scenes in which some planarity, collinearity, symmetry and other geometric properties are known à-priori. Our main contribution is a reconstruction method that has advantages of both constraintbased and model-based methods. Like in the former, the reconstructed object needs not be an assemblage of predefined shapes. Like in the latter, the reconstruction is a...

Modern biological research is data intensive and relies on an efficient informatics infrastructure. Research on the genetic control of embryo development involves large volume image data requiring significant computing resources for reconstruction, mapping and analysis. This poster describes a demonstrator for delivering secure and transparent access to high-performance computing to the laborat...

The problem is to reconstruct a function f : R → C from finitely many linear functional values. To model the operator that transforms f into the data vector, we need to select an ambient space containing f . Typically, we choose a Hilbert space. The selection of the inner product provides an opportunity to incorporate prior knowledge about f into the reconstructon. The inner product induces a n...

An image is often represented by a set of detected features. We get an enormous compression by representing images in this way. Furthermore, we get a representation which is little affected by small amounts of noise in the image. However, features are typically chosen in an ad hoc manner. \Ve show how a good set of features can be obtained using sufficient statistics. The idea of sparse data re...

One of the main problems to obtain a Euclidean 3D reconstruction from multiple views is the calibration of the camera. Explicit calibration is not always practical and has to be repeated regularly. Sometimes it is even impossible (i.e. for pictures taken by an unknown camera of an unknown scene). The second possibility is to do auto-calibration. Here the rigidity of the scene is used to obtain ...

Resumen In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction. We have used PVC tubes of several diameters and lengths that will let us evaluate the accuracy of our 3D reconstruction. In order to calibrate the camera we have used a corner detector. Also we have used Optical Flow techniques to follow the poi...

Background Evaluation of cardiac function is clinically performed using multi-slice breath-hold (BH) acquisition, in which patient breathes for a period of 40-60 seconds between a BH of 10-12 seconds. This results in suboptimal data acquisition efficiency. In this study, we propose to take advantage of the time between multiple BHs to acquire additional free-breathing (FB) data that can be used...