A New 3-D Geometry Reconstruction Method of Space Target Utilizing the Scatterer Energy Accumulation of ISAR Image Sequence

2020 ◽  
Vol 58 (12) ◽  
pp. 8345-8357
Author(s):  
Lei Liu ◽  
Zuobang Zhou ◽  
Feng Zhou ◽  
Xiaoran Shi
Keyword(s):  
Image Sequence ◽  
Reconstruction Method ◽  
Energy Accumulation ◽  
Geometry Reconstruction ◽  
Space Target

scholarly journals A 3D reconstruction method of image sequence based on deep learning

2020 ◽  
Vol 1550 ◽  
pp. 032051
Author(s):  
Yun-peng Liu ◽  
Xing-peng Yan ◽  
Ning Wang ◽  
Xin Zhang ◽  
Zhe Li
Keyword(s):  
Deep Learning ◽  
3D Reconstruction ◽  
Image Sequence ◽  
Reconstruction Method

scholarly journals Analysis of the geometry reconstruction accuracy of the anatomical structure using industrial tomography and laser head

Mechanik ◽  
2018 ◽  
Vol 91 (11) ◽  
pp. 973-975
Author(s):  
Jan Burek ◽  
Paweł Turek
Keyword(s):  
Anatomical Structure ◽  
Reconstruction Method ◽  
Reconstruction Accuracy ◽  
Laser Head ◽  
Geometry Reconstruction ◽  
Two Systems ◽  
Structure Geometry

The article presents a study of impact a reconstruction method on accuracy of mapping the anatomical structure geometry. At the stage of digitalization process, two systems were used: a measuring arm equipped with a laser head and an industrial tomography.

Geometry Reconstruction of Metallic Bodies Using the Sources Reconstruction Method

2010 ◽  
Vol 9 ◽  
pp. 1197-1200 ◽  
Author(s):  
Yuri Alvarez Lopez ◽  
Aranzazu Dominguez-Casas ◽  
Cabrian Garcia-Gonzalez ◽  
Fernando Las-Heras
Keyword(s):  
Reconstruction Method ◽  
Geometry Reconstruction

Articular Geometry Reconstruction for Knee Joint with a Wearable Compliant Device

Robotica ◽  
2019 ◽  
Vol 37 (12) ◽  
pp. 2104-2118 ◽  
Author(s):  
Jiajie Guo ◽  
Zihang Wang ◽  
Jianyong Fu ◽  
Kok-Meng Lee
Keyword(s):  
Knee Joint ◽  
Compliant Mechanism ◽  
Reconstruction Method ◽  
Human Machine Interaction ◽  
Boundary Constraints ◽  
Geometry Reconstruction ◽  
And Control ◽  
Simulated Analysis ◽  
Machine Interaction

SummaryNonlinear articular geometries of biological joints have contributed to highly agile and adaptable human-body motions. However, human–machine interaction could potentially distort natural human motions if the artificial mechanisms overload the articular surfaces and constrain biological joint kinematics. It is desired to better understand the deformable articular geometries of biological joints in vivo during movements for design and control of wearable robotics. An articular geometry reconstruction method is proposed to measure the effective articular profile with a wearable compliant device and illustrated with its application to knee-joint kinematic analysis. Regarding the joint articulation as boundary constraints for the compliant mechanism, the equivalent articular geometry is constructed from the beam deformations driven by knee motions, where the continuous deformations are estimated with strain data from the embedded sensors. Both simulated analysis and experimental validation are presented to justify the proposed method.

3-D Reconstruction of Image Sequence Based on Independent Three-View

2014 ◽  
Vol 989-994 ◽  
pp. 3844-3850 ◽  
Author(s):  
Cong Li ◽  
Hong Rui Zhao ◽  
Gang Fu
Keyword(s):  
Rigid Body ◽  
Coordinate System ◽  
Fundamental Matrix ◽  
Point Cloud ◽  
Point Clouds ◽  
Image Sequence ◽  
Reconstruction Method ◽  
View Point ◽  
Experiment Method ◽  
Space Coordinate

In order to realize efficient and stable 3-D reconstruction of image sequence, a novel 3-D reconstruction method is proposed based on independent three-view in this paper. Firstly, three-view is used as reconstruction unit. Consequently, robust fundamental matrix is calculated under the constraint of three-view. Then 3-D point cloud of 3-D scene corresponding to this three-view is rebuilt by triangulation. Because three-view point cloud is rigid body and local stable, 3-D point clouds of whole image sequence are unified to the same space coordinate system via calculating and using transformation parameters between adjacent three-view. Finally 3-D point cloud reconstruction of whole image sequence is achieved. As shown in experiment, method presented in this paper is simple, efficient and reliable.

Robust 3D reconstruction method based on image sequence

2012 ◽  
Vol 31 (6) ◽  
pp. 1566-1568 ◽  
Author(s):  
Jun YANG ◽  
Chuan-kui SHI ◽  
Jian-wu DANG
Keyword(s):  
3D Reconstruction ◽  
Image Sequence ◽  
Reconstruction Method

Outer Space Target Recognition Based on Image Sequence

2010 ◽  
Vol 426-427 ◽  
pp. 161-165
Author(s):  
W.G. Song ◽  
P.H. Zhou ◽  
Guo Liang Lu ◽  
X.Y. Li
Keyword(s):  
Surveillance System ◽  
Target Recognition ◽  
Outer Space ◽  
Evidence Theory ◽  
Image Sequence ◽  
Recognition System ◽  
Kernel Functions ◽  
Experimental Results ◽  
Practical Application ◽  
Space Target

Outer space target recognition is one of kernel functions of space-based surveillance system. This paper presents a new method on space target recognition based on image sequence using wavelet moments and DS evidence theory. Experimental results show our recognition system has a good performance (100%) which achieves need of practical application.

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