Cao, Yanpeng and McDonald, John
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.
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
||Research presented in this paper was funded by a Strategic
Research Cluster grant (07/SRC/I1168) by Science
Foundation Ireland under the National Development
||feature extraction; image matching; Self-organization; moving camera;
||Faculty of Science and Engineering > Computer Science
Dr Yanpeng Cao
||11 Jan 2011 17:05
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||Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on . ISBN: 978-1-4244-3609-5
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