Pyramidal Optical Flow Method-Based Lightweight Monocular 3D Vascular Point Cloud Reconstruction
文献类型： 外文期刊
作者： Liu, Chang 1 ; Zhang, Zhao 1 ; Lin, Huangxing 2 ; Hu, Yaqiong 3 ; Ng, Eyk 4 ; Chen, Dangzhao 1 ; Zhao, Lei 5 ; Lu, Yifan; 1 ;
作者机构： 1.Nanchang Hangkong Univ, Sch Informat Technol, Nanchang 330063, Jiangxi, Peoples R China
2.Xiamen Univ, Sch Informat, Fujian Key Lab Sensing & Comp Smart City, Xiamen 361005, Peoples R China
3.Shanghai East Hosp, Dept Cardiol, Shanghai 200120, Peoples R China
4.Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
5.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Ctr Future Media, Chengdu 611731, Peoples R China
6.Shanghai Acad Agr Sci, Agr Informat Inst Sci & Technol, Shanghai 201403, Peoples R China
7.Nanhu Coll Jiaxing Univ, Math & Informat Engn Dept, Jiaxing 314001, Peoples R China
关键词： 3D point cloud; 3D medical digital representation; coronary angiography; Web3D; lightweight; optical flow
期刊名称：IEEE ACCESS （ 影响因子：3.367； 五年影响因子：3.671 ）
ISSN： 2169-3536
年卷期： 2019 年 7 卷
页码：
收录情况： SCI
摘要： We propose a method for reconstructing a 3D point cloud of the organ model based on optical flow and take the 3D cardiovascular model reconstruction as an example. This optical-flow distribution based 3D point cloud reconstruction method is divided into four steps. Firstly, we employ the Coey filter to remove the noise points and improve the resolution of the raw images. Secondly, we implement the Shi-Tomasi method to extract the feature points from these filtered images. Thirdly, we remove the redundancy in the feature point set by the optical flow distributions. Finally, we converted the obtained feature points from 2D to 3D through the optical flow distribution and then reconstructed a 3D point cloud of the medical organ. With the help of our 3D representation, doctors and patients can view the 3D medical models on the Web. The final result on the Web shows the proposed method is feasible and superior.
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