SIMULGEO is a geometrical software developed for the position monitoring system of the CMS detector at the LHC accelerator. This software is capable to model opto-geometrical systems including error propagation and geometrical reconstruction. Thanks to a special description method, any opto-geometrical system can easily be described and analysed. This report explains how to use SIMULGEO, descri...

In this paper, we present an unsupervised 2D/3D reconstruction scheme combining a parameterized multiple-component geometrical model and a point distribution model, and show its application to automatically reconstruct a surface model of a proximal femur from a limited number of calibrated fluoroscopic images with no user intervention at all. The parameterized multiple-component geometrical mod...

Reconstruction of 3D-objects from a number of images is a central subject of Computer Vision. In this paper we will investigate the geometrical structure of the trifocal tensor using Geometric Algebra. Furthermore, we will give a novel expression for the trifocal tensor, derive constraints on its geometrical structure and investigate its reconstruction ability computationally. We will show that...

In medical and surgery applications, the implant design is the key. Any mismatch in the implant design results in the implant failure as well as psychological stress and pain to the patient. Measuring and inspecting the geometrical implant design with the reference model is very important, to ensure the proper fitting and safety of the patient. The purpose of this study is to perform the evalua...

In binary tomography, several algorithms are known for reconstructing binary images having some geometrical properties from their projections. In order to choose the appropriate reconstruction algorithm it is necessary to have a priori information of the image to be reconstructed. In this way we can improve the speed and reduce the ambiguity of the reconstruction. Our work is concerned with the...

This paper presents a new 3D reconstruction method of the scoliotic vertebrae of a spine, using two conventional radiographic views (postero-anterior and lateral), and a global prior knowledge on the geometrical structure of each vertebra. This geometrical knowledge is efficiently captured by a statistical deformable template integrating a set of admissible deformations, expressed by the first ...

In surface reconstruction from slice samples (typical in medical imaging, coordinate measurement machines, stereolithography, etc.) the available methods attack the geometrical and topological aspects or a combinationof these. Topological methods classify the events occurred in the 2-manifold between two consecutive slices. Geometrical methods synthesize the surface based on local proximity of ...

With the aging population of developed countries, diseases affluence become common. One consequences their complications are chronic wounds that affect more and people. Because healing is a lengthy process, its monitoring should be as simple possible, yet providing accurate reliable documentation. In this article, we present an image acquisition system wound surface reconstruction method using ...

We address the issue of reconstructing an object of constant interior density in the context of 3D tomography where there is prior knowledge about the unknown shape. We explore the direct estimation of the parameters of a chosen geometrical model from a set of radiographic measurements, rather than performing operations (segmentation for example) on a reconstructed volume. The inverse problem i...

Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the high overlaps and different visual angles can produce a large number of dense matching point clouds data with spectral information. This paper presents a method of buildings reconstruction with st...