Efficient point correspondence matching using motion vector for a self-calibrated augmented reality application of a single camera

Junaidi Abdullah, and Wan Noorshahida Mohd Isa, (2006) Efficient point correspondence matching using motion vector for a self-calibrated augmented reality application of a single camera. In: Proceeding GRAPHITE '06 Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia. ACM DL - Digital Library, pp. 257-260. ISBN 1-59593-564-9

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Official URL: http://dl.acm.org/citation.cfm?id=1174474

Abstract

Problem of poor camera calibration in Augmented Reality (AR) has always been overcome by employing careful camera calibration steps with the use of specific known object. However, this task is time consuming and mostly performed offline. A Self-Calibrated AR system (SCAR system) of a camera updates the camera intrinsic parameters whenever they change. The system solves the camera parameters based on only three views and requires only the fundamental matrices as the inputs. Point correspondence matching is one of the necessary stages in SCAR system. Correct corner matches ensure good estimation of the fundamental matrix since the outcome of this stage is to be fed into the fundamental matrix estimation stage. This paper proposes a simple and robust algorithm for point correspondence matching in one of the stages of SCAR system. The matching process is efficient and capable of removing outliers from corner detection as well as maintaining a good number of correct matches even in the event of occlusion.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 26 Nov 2013 06:43
Last Modified: 26 Nov 2013 06:43
URI: http://shdl.mmu.edu.my/id/eprint/4492

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