scholarly journals A new method for efficient three-dimensional reconstruction of outdoor environments using mobile robots

2011 ◽  
Vol 28 (6) ◽  
pp. 832-853 ◽  
Author(s):  
Jaime A. Pulido Fentanes ◽  
Raul Feliz Alonso ◽  
Eduardo Zalama ◽  
Jaime Gómez García-Bermejo
Keyword(s):  
Mobile Robots ◽  
Three Dimensional ◽  
New Method ◽  
Three Dimensional Reconstruction ◽  
Outdoor Environments ◽  
Dimensional Reconstruction

scholarly journals Calibration and three-dimensional reconstruction with a photorealistic simulator based on the omnidirectional vision system

2021 ◽  
Vol 18 (6) ◽  
pp. 172988142110593
Author(s):  
Ivan Kholodilin ◽  
Yuan Li ◽  
Qinglin Wang ◽  
Paul David Bourke
Keyword(s):  
Mobile Robots ◽  
Indoor Environment ◽  
Vision System ◽  
Three Dimensional ◽  
Ground Truth ◽  
Training Data ◽  
Omnidirectional Vision ◽  
Three Dimensional Reconstruction ◽  
Practical Applications ◽  
Dimensional Reconstruction

Recent advancements in deep learning require a large amount of the annotated training data containing various terms and conditions of the environment. Thus, developing and testing algorithms for the navigation of mobile robots can be expensive and time-consuming. Motivated by the aforementioned problems, this article presents a photorealistic simulator for the computer vision community working with omnidirectional vision systems. Built using unity, the simulator integrates sensors, mobile robots, and elements of the indoor environment and allows one to generate synthetic photorealistic data sets with automatic ground truth annotations. With the aid of the proposed simulator, two practical applications are studied, namely extrinsic calibration of the vision system and three-dimensional reconstruction of the indoor environment. For the proposed calibration and reconstruction techniques, the processes themselves are simple, robust, and accurate. Proposed methods are evaluated experimentally with data generated by the simulator. The proposed simulator and supporting materials are available online: http://www.ilabit.org .

New method of studying joint kinematics from three-dimensional reconstructions of MRI data

1996 ◽  
Vol 86 (1) ◽  
pp. 4-15 ◽  
Author(s):  
BE Hirsch ◽  
JK Udupa ◽  
S Samarasekera
Keyword(s):  
Magnetic Resonance ◽  
Range Of Motion ◽  
Three Dimensional ◽  
Magnetic Resonance Images ◽  
Joint Kinematics ◽  
New Method ◽  
Three Dimensional Reconstruction ◽  
Kinematic Parameters ◽  
Dimensional Reconstruction ◽  
Kinematic Information

A new method of measuring the kinematic parameters of joints has been developed. This article describes the procedure, using tarsal joints as examples. The method uses the technique of computerized three-dimensional reconstruction from magnetic resonance images, taken at regular intervals throughout a foot's range of motion. From these reconstructions, various kinematic information, such as orientation of instantaneous axes, amounts of rotation, amounts and direction of translation, and bony contact areas, is derived. The method is noninvasive and can be applied to individual subjects or patients.

Three-Dimensional Reconstruction: A New Method for the Evaluation of Apical Microleakage

2000 ◽  
Vol 26 (1) ◽  
pp. 36-38 ◽  
Author(s):  
K LYROUDIA ◽  
O PANTELIDOU ◽  
G MIKROGEORGIS ◽  
N NIKOPOULOS ◽  
I PITAS
Keyword(s):  
Three Dimensional ◽  
New Method ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction

scholarly journals MULTI-BASELINE INSAR ELEVATION INVERSION METHOD BASED ON THREE-DIMENSIONAL RECONSTRUCTION MODEL

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 743-746
Author(s):  
F. Hua ◽  
G. Peng ◽  
L. Lu ◽  
Z. Wang
Keyword(s):  
Geometric Model ◽  
Three Dimensional ◽  
New Method ◽  
Inversion Method ◽  
Three Dimensional Reconstruction ◽  
Interferometric Phase ◽  
Dimensional Reconstruction ◽  
System Errors ◽  
Reconstruction Model ◽  
Better Than

The existing multi-baseline methods have some problems of low accuracy and intensive calculation. In order to solve the problems, a new multi-baseline InSAR elevation inversion method based on a rigorous geometric model instead of a simplified model is proposed in the letter. This method introduces the three-dimensional reconstruction model based on rigorous geometric model and the unknown full cycles of interferometric phase as a parameter to iteratively solve the 3-D coordinates of the target. With adopting the 3-D coordinate information of targets to connect different interferometric data, the new method obviously weakens the effects of system errors on solving the integer cycle and is more reliable than conventional multi-baseline InSAR methods. The experimental results show that the speed and accuracy of the new method are better than the existing methods.

Sign in / Sign up

Export Citation Format

Share Document