An Approach to 3-D Object Recognition Using Legendre Moment Invariants
Feature descriptors for 3-D images have recently gained considerable attention in application for games, virtual reality environment and solid modeling. Numerous research had been introduced for 3-D invariants of geometric moments, complex moments and Zernike moments. In this paper, we present a the...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
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2007
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| Online Access: | http://shdl.mmu.edu.my/3159/ |
| _version_ | 1848790250197876736 |
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| author | Ong, Lee-Yeng Chong, Chee-Way Besar, Rosli |
| author_facet | Ong, Lee-Yeng Chong, Chee-Way Besar, Rosli |
| author_sort | Ong, Lee-Yeng |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Feature descriptors for 3-D images have recently gained considerable attention in application for games, virtual reality environment and solid modeling. Numerous research had been introduced for 3-D invariants of geometric moments, complex moments and Zernike moments. In this paper, we present a theoretical framework to derive translation and scale invariants for 3-D Legendre moments, by using indirect and direct methods. Indirect method generates 3-D Legendre invariants from the existing 3-D geometric moment invariants. Direct method, on the other hand, eliminates the displacement and scale factors from Legendre polynomials to generate translation and scale invariants. Experiment using 3-D binary images are carried out to verify the proposed feature descriptors. |
| first_indexed | 2025-11-14T18:09:37Z |
| format | Conference or Workshop Item |
| id | mmu-3159 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:09:37Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-31592011-10-18T06:08:40Z http://shdl.mmu.edu.my/3159/ An Approach to 3-D Object Recognition Using Legendre Moment Invariants Ong, Lee-Yeng Chong, Chee-Way Besar, Rosli T Technology (General) QA75.5-76.95 Electronic computers. Computer science Feature descriptors for 3-D images have recently gained considerable attention in application for games, virtual reality environment and solid modeling. Numerous research had been introduced for 3-D invariants of geometric moments, complex moments and Zernike moments. In this paper, we present a theoretical framework to derive translation and scale invariants for 3-D Legendre moments, by using indirect and direct methods. Indirect method generates 3-D Legendre invariants from the existing 3-D geometric moment invariants. Direct method, on the other hand, eliminates the displacement and scale factors from Legendre polynomials to generate translation and scale invariants. Experiment using 3-D binary images are carried out to verify the proposed feature descriptors. 2007-11 Conference or Workshop Item NonPeerReviewed Ong, Lee-Yeng and Chong, Chee-Way and Besar, Rosli (2007) An Approach to 3-D Object Recognition Using Legendre Moment Invariants. In: International Conference on Intelligent and Advanced Systems, 25-28 NOV 2007 , Kuala Lumpur, MALAYSIA. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=S1iF85GI68kD2C5e51I&page=118&doc=1178 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ong, Lee-Yeng Chong, Chee-Way Besar, Rosli An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title | An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title_full | An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title_fullStr | An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title_full_unstemmed | An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title_short | An Approach to 3-D Object Recognition Using Legendre Moment Invariants |
| title_sort | approach to 3-d object recognition using legendre moment invariants |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3159/ http://shdl.mmu.edu.my/3159/ |