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|Title:||Feature extraction of volume data based on multi-scale representation||Authors:||Wu, Y.
|Issue Date:||2003||Citation:||Wu, Y., Chang, E.C., HUANG ZHIYONG, Kankanhalli, M.S. (2003). Feature extraction of volume data based on multi-scale representation. Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, GRAPHITE '03 : 175-180. ScholarBank@NUS Repository. https://doi.org/10.1145/604471.604506||Abstract:||In this paper, we present a novel algorithm that can detect and extract salient points as features in 3-D volume datasets. This algorithm extracts not only the locations of feature points, but also finds out the scales at which the features are most significant. It applies the scale-space theory by adaptively processing the input volume in a few discrete scales. The features points, as well as their scales, detected can be used for subsequent processing, such as content-based volume data authentication and content-based volume rendering.We have implemented the algorithm and tested its effectiveness on several volume datasets. Some optimization has also been done on time-consuming intermediate steps to speed up the feature detection process. Copyright © 2003 by the Association for Computing Machinery, Inc.||Source Title:||Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, GRAPHITE '03||URI:||http://scholarbank.nus.edu.sg/handle/10635/41014||ISBN:||1581135785||DOI:||10.1145/604471.604506|
|Appears in Collections:||Staff Publications|
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