Exploring higher quality point clouds using stereo vision
This research investigates the feasibility of creating a useful high-quality point cloud through stereo vision. We will create a homemade stereo camera setup to implement the stereo vision techniques. To generate the point clouds, we will implement traditional stereo vision using our stereo camera s...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162908 |
| _version_ | 1826114924030459904 |
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| author | Foo, Chuan Ann |
| author2 | Qian Kemao |
| author_facet | Qian Kemao Foo, Chuan Ann |
| author_sort | Foo, Chuan Ann |
| collection | NTU |
| description | This research investigates the feasibility of creating a useful high-quality point cloud through stereo vision. We will create a homemade stereo camera setup to implement the stereo vision techniques. To generate the point clouds, we will implement traditional stereo vision using our stereo camera setup, PSMNet, and MiDaS, a monocular depth estimate using neural network. We will compare and discuss if stereo vision may provide better depth estimate, and consequently a more accurate representation of the scene in the point cloud, than single camera approaches. Stereo vision with deep learning enhancement will also be explored, such as the state-of-the-art method, PSMNet. A final evaluation will be done to summarise our findings on which method produces the highest quality point cloud that has the least noise as well as the best depth estimate regarding the subject in focus. |
| first_indexed | 2024-10-01T03:47:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/162908 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:47:08Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1629082022-11-14T02:02:26Z Exploring higher quality point clouds using stereo vision Foo, Chuan Ann Qian Kemao School of Computer Science and Engineering MKMQian@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This research investigates the feasibility of creating a useful high-quality point cloud through stereo vision. We will create a homemade stereo camera setup to implement the stereo vision techniques. To generate the point clouds, we will implement traditional stereo vision using our stereo camera setup, PSMNet, and MiDaS, a monocular depth estimate using neural network. We will compare and discuss if stereo vision may provide better depth estimate, and consequently a more accurate representation of the scene in the point cloud, than single camera approaches. Stereo vision with deep learning enhancement will also be explored, such as the state-of-the-art method, PSMNet. A final evaluation will be done to summarise our findings on which method produces the highest quality point cloud that has the least noise as well as the best depth estimate regarding the subject in focus. Bachelor of Engineering (Computer Science) 2022-11-14T02:02:26Z 2022-11-14T02:02:26Z 2022 Final Year Project (FYP) Foo, C. A. (2022). Exploring higher quality point clouds using stereo vision. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162908 https://hdl.handle.net/10356/162908 en SCSE21-0683 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Foo, Chuan Ann Exploring higher quality point clouds using stereo vision |
| title | Exploring higher quality point clouds using stereo vision |
| title_full | Exploring higher quality point clouds using stereo vision |
| title_fullStr | Exploring higher quality point clouds using stereo vision |
| title_full_unstemmed | Exploring higher quality point clouds using stereo vision |
| title_short | Exploring higher quality point clouds using stereo vision |
| title_sort | exploring higher quality point clouds using stereo vision |
| topic | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | https://hdl.handle.net/10356/162908 |
| work_keys_str_mv | AT foochuanann exploringhigherqualitypointcloudsusingstereovision |