Implementation of a surface reconstruction algorithm using dictionary learning
Triangular mesh reconstruction from point cloud data has always been an important practice in computer graphic. There are several existing reconstruction methods to choose from, all with their own strengths and limitations. However, one solution, proposed in the paper: Robust Surface Reconstruction...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/74347 |
| _version_ | 1811688818307235840 |
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| author | Luong, Viet Hoang |
| author2 | Qian Kemao |
| author_facet | Qian Kemao Luong, Viet Hoang |
| author_sort | Luong, Viet Hoang |
| collection | NTU |
| description | Triangular mesh reconstruction from point cloud data has always been an important practice in computer graphic. There are several existing reconstruction methods to choose from, all with their own strengths and limitations. However, one solution, proposed in the paper: Robust Surface Reconstruction via Dictionary Learning [Shiyao Xiong et al. 2014], interests us the most due to its outstanding accuracy and robustness comparing to other algorithms. It makes use of the dictionary learning framework, where the dictionary is the positions of the reconstructed mesh vertices, and the sparse coding matrix is the connectivity of those vertices. In this final year project, we tried to create a program to implement this algorithm, eventually provide NTU researchers with a powerful tool for their surface reconstructing works. As we developed the program, we encountered many practical problems that were not mentioned in the original paper and came up with different solutions for them. The purpose of this report is to summarize what we have achieved so far, explain the reasoning behind our code and provide a reference document for anyone who will continue working on this project in the future. |
| first_indexed | 2024-10-01T05:38:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/74347 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:38:15Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/743472023-03-03T20:30:13Z Implementation of a surface reconstruction algorithm using dictionary learning Luong, Viet Hoang Qian Kemao School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Triangular mesh reconstruction from point cloud data has always been an important practice in computer graphic. There are several existing reconstruction methods to choose from, all with their own strengths and limitations. However, one solution, proposed in the paper: Robust Surface Reconstruction via Dictionary Learning [Shiyao Xiong et al. 2014], interests us the most due to its outstanding accuracy and robustness comparing to other algorithms. It makes use of the dictionary learning framework, where the dictionary is the positions of the reconstructed mesh vertices, and the sparse coding matrix is the connectivity of those vertices. In this final year project, we tried to create a program to implement this algorithm, eventually provide NTU researchers with a powerful tool for their surface reconstructing works. As we developed the program, we encountered many practical problems that were not mentioned in the original paper and came up with different solutions for them. The purpose of this report is to summarize what we have achieved so far, explain the reasoning behind our code and provide a reference document for anyone who will continue working on this project in the future. Bachelor of Engineering (Computer Science) 2018-05-16T08:02:47Z 2018-05-16T08:02:47Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74347 en Nanyang Technological University 34 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Luong, Viet Hoang Implementation of a surface reconstruction algorithm using dictionary learning |
| title | Implementation of a surface reconstruction algorithm using dictionary learning |
| title_full | Implementation of a surface reconstruction algorithm using dictionary learning |
| title_fullStr | Implementation of a surface reconstruction algorithm using dictionary learning |
| title_full_unstemmed | Implementation of a surface reconstruction algorithm using dictionary learning |
| title_short | Implementation of a surface reconstruction algorithm using dictionary learning |
| title_sort | implementation of a surface reconstruction algorithm using dictionary learning |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics |
| url | http://hdl.handle.net/10356/74347 |
| work_keys_str_mv | AT luongviethoang implementationofasurfacereconstructionalgorithmusingdictionarylearning |