An Approach to 3-D Object Recognition Using Legendre Moment Invariants


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.

Full text not available from this repository.


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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 18 Oct 2011 06:08
Last Modified: 18 Oct 2011 06:08


Downloads per month over past year

View ItemEdit (login required)