NUI Maynooth

NUIM ePrints and eTheses Archive

NUIM Library

Self-organization for images from a moving camera

Cao, Yanpeng and McDonald, John (2009) Self-organization for images from a moving camera. Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on . ISBN: 978-1-4244-3609-5. pp. 177-180.

[img] Download (556kB)

Abstract

Given a set of unsorted views captured in a wide area, an effective solution is proposed for image self-organization. The method starts with an initialization step where a small number of key frame pairs are selected to set up a global reference. Given a query image we automatically relate it to the existing key frames based on their pair-wise similarity evaluation. Four major enhancements are made in this step to achieve better performance. Firstly, a recently developed technique, SURF, is applied for robust feature detection. Secondly, an efficient coarse-to-fine matching strategy is implemented. Thirdly, an improved global representation is defined over each image for accurate and fast similarity evaluation. Finally, the method is constantly updated by adding more query images. Experiments were carried out to evaluate the performances of image self-organization by using a large number of images captured from our university's campus

Item Type: Article
Additional Information: Research presented in this paper was funded by a Strategic Research Cluster grant (07/SRC/I1168) by Science Foundation Ireland under the National Development
Keywords: feature extraction; image matching; Self-organization; moving camera;
Subjects: Science & Engineering > Computer Science
Item ID: 2329
Identification Number: DOI: 10.1109/WIAMIS.2009.5031461
Depositing User: Dr Yanpeng Cao
Date Deposited: 11 Jan 2011 17:05
Journal or Publication Title: Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on . ISBN: 978-1-4244-3609-5
Publisher: IEEE
Refereed: Yes
URI:

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...