Date of Defense
12-7-2021
Date of Graduation
12-2021
Department
Computer Science
First Advisor
Jason Johnson
Second Advisor
Li Yang
Abstract
The project aims to convert an arbitrary point cloud into a triangular mesh. Point clouds are a list of 3d points that model the topology of an object. Point clouds can have various issues, such as missing or noisy data. For the scope, we had no control over point cloud generation. We were also unable to deal with underlying registration or alignment problems. Triangular meshes are a list of triangles that have 3d vertices. This aggregate list of triangles defines the reconstructed surface. Our project implementation is based on Alexander Hornung and Leif Kobbelt’s method for surface reconstruction using the unsigned distance function [1]. Stryker did not have any preexisting software that we could use to accomplish our project. We had to implement the entire algorithm and sub algorithms from scratch.
Recommended Citation
Chi, Jhye Tim, "Surface Reconstruction Library" (2021). Honors Theses. 3473.
https://scholarworks.wmich.edu/honors_theses/3473
Access Setting
Honors Thesis-Open Access
Included in
Other Computer Sciences Commons, Software Engineering Commons, Theory and Algorithms Commons
Comments
Co-authored with Harsh Sinha