Three-Dimensional Tracking Method of Tissue Motion with Biplane Images

2005 ◽  
Vol 44 (6B) ◽  
pp. 4561-4566 ◽  
Author(s):  
Hideki Yoshikawa ◽  
Takashi Azuma ◽  
Ken-ichi Kawabata ◽  
Yo Taniguchi ◽  
Shin-ichiro Umemura
2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yi Zhu ◽  
Xin Chen ◽  
Chuntao Li

The problem of UAV trajectory tracking is a difficult issue for scholars and engineers, especially when the target curve is a complex curve in the three-dimensional space. In this paper, the coordinate frames during the tracking process are transformed to improve the tracking result. Firstly, the basic concepts of the moving frame are given. Secondly the transfer principles of various moving frames are formulated and the Bishop frame is selected as a final choice for its flexibility. Thirdly, the detailed dynamic equations of the moving frame tracking method are formulated. In simulation, a moving frame of an elliptic cylinder helix is formulated precisely. Then, the devised tracking method on the basis of the dynamic equations is tested in a complete flight control system with 6 DOF nonlinear equations of the UAV. The simulation result shows a satisfactory trajectory tracking performance so that the effectiveness and efficiency of the devised tracking method is proved.


2014 ◽  
Vol 794-796 ◽  
pp. 27-32
Author(s):  
Masakazu Kobayashi ◽  
Yuki Kawamura

Inhomogeneous deformation in polycrystalline material is interesting matter, because the concentration point of deformation relates with the origins of yield, fracture and recrystallization. Plastic strains in three-dimension during tensile deformation have been investigated by using the marker tracking method in synchrotron X-ray microtomography. Three-dimensional position of grains was detected by grain-boundaries visualizing method. The variation of deformation were measured for each grain. We summarized how much degree grains was deformed inhomogeneously comparable to the plastic deformation in whole specimen.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Qin

Aiming at the problems of poor image tracking effect, low precision, and long time in the process of image tracking of volleyball player’s arm hitting, a volleyball player's arm hitting image tracking method based on D-P algorithm is proposed. This paper analyzes the basic concept, basic principle, and basic equation of D-P algorithm and collects the arm stroke trajectory image of volleyball players under the three-dimensional visual model. Using wavelet multiscale decomposition method, the arm stroke trajectory of volleyball players is filtered, and the edge contour feature points of the arm stroke image of volleyball players are extracted. Using the gray histogram feature extraction method, the gray information of volleyball player's arm hitting trajectory image is enhanced. Combined with pixel adaptive enhancement technology, the key action feature points of volleyball player's arm hitting image trajectory are located. Based on D-P algorithm, the volleyball player's arm hitting image trajectory is adjusted and modified to realize the correct tracking of volleyball player's arm hitting image trajectory. The experimental results show that the trajectory tracking effect of volleyball player's arm hitting image is better, which can effectively improve the tracking accuracy and shorten the tracking time.


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