Image analysis by interesting point detection
The fundamental objective of this paper is to compare and contrast against two detectors on interest point image recognition. The two different detectors using in this report are ROLG (Rank Order Laplacian of Gaussian) filter, a weighted rank order filter and SIFT (Scale-Invariant Feature Transform)...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/62073 |
| _version_ | 1811686220417204224 |
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| author | Thiri, Thinn |
| author2 | Jiang Xudong |
| author_facet | Jiang Xudong Thiri, Thinn |
| author_sort | Thiri, Thinn |
| collection | NTU |
| description | The fundamental objective of this paper is to compare and contrast against two detectors on interest point image recognition. The two different detectors using in this report are ROLG (Rank Order Laplacian of Gaussian) filter, a weighted rank order filter and SIFT (Scale-Invariant Feature Transform) detector, linear filter based detectors. Experiments on face recognition using face images, different types of images had conducted and studied to find out the limitations, robustness, performance, advantages and disadvantages of two different detectors approach. |
| first_indexed | 2024-10-01T04:56:57Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/62073 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:56:57Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/620732023-07-07T16:56:20Z Image analysis by interesting point detection Thiri, Thinn Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The fundamental objective of this paper is to compare and contrast against two detectors on interest point image recognition. The two different detectors using in this report are ROLG (Rank Order Laplacian of Gaussian) filter, a weighted rank order filter and SIFT (Scale-Invariant Feature Transform) detector, linear filter based detectors. Experiments on face recognition using face images, different types of images had conducted and studied to find out the limitations, robustness, performance, advantages and disadvantages of two different detectors approach. Bachelor of Engineering 2015-01-10T06:32:12Z 2015-01-10T06:32:12Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/62073 en Nanyang Technological University 54 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Thiri, Thinn Image analysis by interesting point detection |
| title | Image analysis by interesting point detection |
| title_full | Image analysis by interesting point detection |
| title_fullStr | Image analysis by interesting point detection |
| title_full_unstemmed | Image analysis by interesting point detection |
| title_short | Image analysis by interesting point detection |
| title_sort | image analysis by interesting point detection |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/62073 |
| work_keys_str_mv | AT thirithinn imageanalysisbyinterestingpointdetection |