Symmetry detection on shapes and objects in 2D images using feature points
Symmetry is a worldwide phenomenon that exists in all forms and shapes in the world. It is a crucial part of geometry, nature, and shapes. It helps to organise our world conceptually by creating patterns that we can analyse and study. With the recent resurging interest of computer vision and compute...
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| 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/10356/158746 |
| _version_ | 1826129120697778176 |
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| author | Ho, Swee Ngee |
| author2 | Zheng Jianmin |
| author_facet | Zheng Jianmin Ho, Swee Ngee |
| author_sort | Ho, Swee Ngee |
| collection | NTU |
| description | Symmetry is a worldwide phenomenon that exists in all forms and shapes in the world. It is a crucial part of geometry, nature, and shapes. It helps to organise our world conceptually by creating patterns that we can analyse and study. With the recent resurging interest of computer vision and computer graphics, it is no doubt that the study of the detection of symmetry will be useful in developing new algorithms or refining existing methods. Potential applications like camera tracking and object pose estimation can benefit from the findings of symmetry detection. This project presents an existing method to detect symmetry in an image, by grouping feature points based on their underlying symmetry and characteristics. With the method, the project aims to analyse how symmetry detection is done on the lowest level and evaluate the effectiveness of the detection, also stating the limitations of the current method. |
| first_indexed | 2024-10-01T07:35:32Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158746 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:35:32Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1587462022-06-06T06:25:35Z Symmetry detection on shapes and objects in 2D images using feature points Ho, Swee Ngee Zheng Jianmin School of Computer Science and Engineering ASJMZheng@ntu.edu.sg Engineering::Computer science and engineering Symmetry is a worldwide phenomenon that exists in all forms and shapes in the world. It is a crucial part of geometry, nature, and shapes. It helps to organise our world conceptually by creating patterns that we can analyse and study. With the recent resurging interest of computer vision and computer graphics, it is no doubt that the study of the detection of symmetry will be useful in developing new algorithms or refining existing methods. Potential applications like camera tracking and object pose estimation can benefit from the findings of symmetry detection. This project presents an existing method to detect symmetry in an image, by grouping feature points based on their underlying symmetry and characteristics. With the method, the project aims to analyse how symmetry detection is done on the lowest level and evaluate the effectiveness of the detection, also stating the limitations of the current method. Bachelor of Engineering (Computer Science) 2022-06-06T06:25:35Z 2022-06-06T06:25:35Z 2022 Final Year Project (FYP) Ho, S. N. (2022). Symmetry detection on shapes and objects in 2D images using feature points. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158746 https://hdl.handle.net/10356/158746 en SCSE21-0037 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Ho, Swee Ngee Symmetry detection on shapes and objects in 2D images using feature points |
| title | Symmetry detection on shapes and objects in 2D images using feature points |
| title_full | Symmetry detection on shapes and objects in 2D images using feature points |
| title_fullStr | Symmetry detection on shapes and objects in 2D images using feature points |
| title_full_unstemmed | Symmetry detection on shapes and objects in 2D images using feature points |
| title_short | Symmetry detection on shapes and objects in 2D images using feature points |
| title_sort | symmetry detection on shapes and objects in 2d images using feature points |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/158746 |
| work_keys_str_mv | AT hosweengee symmetrydetectiononshapesandobjectsin2dimagesusingfeaturepoints |