Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145928
Title: Pyramidal optical flow method-based lightweight monocular 3D vascular point cloud reconstruction
Authors: Liu, Chang
Zhang, Zhao
Lin, Huangxing
Hu, Yaqiong
Ng, Eyk
Chen, Dangzhao
Zhao, Lei
Lu, Yifan
Dai, Xin
Xu, Shipu
Liu, Xiaojun
Xie, Ning
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Liu, C., Zhang, Z., Lin, H., Hu, Y., Ng, E., Chen, D., . . . Xie, N. (2019). Pyramidal optical flow method-based lightweight monocular 3D vascular point cloud reconstruction. IEEE Access, 7, 167420-167428. doi:10.1109/ACCESS.2019.2953818
Journal: IEEE Access 
Abstract: 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.
URI: https://hdl.handle.net/10356/145928
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2953818
Rights: © 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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