3D Surface Reconstruction from Circumferential Light Field Based on the Feature Point Tracking

2016 ◽  
Author(s):  
Chang Liu ◽  
Jun Qiu ◽  
Rui-Ning Yuan ◽  
Songnian Zhao ◽  
Ming Jiang
Keyword(s):  
Surface Reconstruction ◽  
Light Field ◽  
Feature Point ◽  
3D Surface Reconstruction ◽  
Point Tracking ◽  
3D Surface ◽  
Feature Point Tracking

scholarly journals Study on Reconstruction and Feature Tracking of Silicone Heart 3D Surface

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7570
Author(s):  
Ziyan Zhang ◽  
Yan Liu ◽  
Jiawei Tian ◽  
Shan Liu ◽  
Bo Yang ◽  
...  
Keyword(s):  
Surface Reconstruction ◽  
Feature Tracking ◽  
Feature Matching ◽  
Negative Impact ◽  
Three Dimensional ◽  
Geometric Constraints ◽  
Feature Point ◽  
Feature Points ◽  
3D Surface Reconstruction ◽  
3D Surface

At present, feature-based 3D reconstruction and tracking technology is widely applied in the medical field. In minimally invasive surgery, the surgeon can achieve three-dimensional reconstruction through the images obtained by the endoscope in the human body, restore the three-dimensional scene of the area to be operated on, and track the motion of the soft tissue surface. This enables doctors to have a clearer understanding of the location depth of the surgical area, greatly reducing the negative impact of 2D image defects and ensuring smooth operation. In this study, firstly, the 3D coordinates of each feature point are calculated by using the parameters of the parallel binocular endoscope and the spatial geometric constraints. At the same time, the discrete feature points are divided into multiple triangles using the Delaunay triangulation method. Then, the 3D coordinates of feature points and the division results of each triangle are combined to complete the 3D surface reconstruction. Combined with the feature matching method based on convolutional neural network, feature tracking is realized by calculating the three-dimensional coordinate changes of the same feature point in different frames. Finally, experiments are carried out on the endoscope image to complete the 3D surface reconstruction and feature tracking.

Feature point tracking in time-varying images

1990 ◽  
Vol 11 (12) ◽  
pp. 843-848 ◽  
Author(s):  
Paul M. Griffin ◽  
Sherri L. Messimer
Keyword(s):  
Feature Point ◽  
Time Varying ◽  
Point Tracking ◽  
Feature Point Tracking
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