With increasing demand on intra-operative navigation and motion compensation during robotic assisted minimally invasive surgery, real-time 3D deformation recovery remains a central problem. Currently the majority of existing methods rely on salient features, where the inherent paucity of distinctive landmarks implies either a semi-dense reconstruction or the use of strong geometrical constraint...

Occlusion and inferior foreground/background segmentation still poses a big problem to 3D reconstruction from a set of images in a multi-camera system because it has a destructive nature on the reconstruction if one or more of the cameras do not see the object properly. We propose a method to obtain a 3D reconstruction which takes into account the possibility of occlusion by combining the infor...

Module-1 : Computation of gradient directions. Reconstruction of a set of imperfect contour curves which is extracted : Assignment of discrete height to contour curves. from a topographical map is one of the important problems in the field Module-3 : Reconstruction of three-dimensional configurations. of geometrical information processing. This Paper reports a novel 1, order to make our explana...

Automatic reconstruction of 3D models from video sequences requires selection of appropriate video frames for performing the reconstruction. We introduce a complete method for key frame selection that automatically avoids degeneracies and is robust to inaccurate correspondences caused by motion blur. Our method combines selection criteria based on the number of frame-to-frame point corresponden...

In this work, we propose a method for three-dimensional (3D) reconstruction of wide crime scene, based on a Simultaneous Localization and Mapping (SLAM) approach. We used a Kinect V2 Time-of-Flight (TOF) RGB-D camera to provide colored dense point clouds at a 30 Hz frequency. This device is moved freely (6 degrees of freedom) during the scene exploration. The implemented SLAM solution aligns su...

It is possible to recover the three-dimensional structure of a scene using images taken with uncalibrated cameras and pixel correspondences. But such a reconstruction can only be computed up to a projective transformation of the 3D space. Therefore, constraints have to be added to the reconstructed data in order to get the reconstruction in the euclidean space. Such constraints arise from knowl...

The vertical profile of atmospheric depth is an important element in extensive air shower studies. The depth of shower maximum is one of the most important characteristics of the shower. In the fluorescence technique of shower detection, the geometrical reconstruction provides the altitude of shower maximum, so that an accurate profile of atmospheric depth is needed to convert this altitude to ...

Bioluminescence imaging plays an important role in the areas of cancer biology, cell biology, gene therapy, and so on. The 2D planar bioluminescent imaging has been transformed into a 3D framework by bioluminescence tomography (BLT) that enables bioluminescent source reconstruction in a mouse using a modality fusion approach. To solve this BLT problem, a geometrical model of the mouse is usuall...

Magnetic Resonance Electrical Impedance Tomography (MREIT) is a relatively new imaging technique that allows tomographic imaging of electrical conductivity of biologically conductive objects. In this paper, we present software that has been implemented to accompany MREIT. The software offers various computational tools from preprocessing of MREIT data to reconstruction of crosssectional conduct...

A generalized ISAR approach to solve the SAR problem for ship target image reconstruction is considered. A new definition of three dimensional (3-D) SAR scenario is suggested. An analytical geometrical approach to define apparent Yaw, Pitch and Roll angle of the ship target at sea is implemented. The target is presented as an assembly of point scatterers. Mathematical expressions to calculate r...