A Two-stage Matching Scheme for Effective and Efficient Similar Shape Retrieval
BibTeX
@MISC{Wendy_atwo-stage,
author = {Jia Wang Wendy and Jia Wang and Wendy Chang and Raj Acharya},
title = {A Two-stage Matching Scheme for Effective and Efficient Similar Shape Retrieval},
year = {}
}
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Abstract
Recent content-based similar shape retrieval techniques are mostly based on either the global invariant statistics derived from the entire shape or the primitive features computed from a shape's local regions. Global features are easy to compute but do not accurately reflect a real shape, hence, have a limited discrimination ability. On the contrary, primitive local features are computationally intensive but offer precise shape descriptions. We observed that the effectiveness and efficiency of the similar shape retrieval can be enhanced by integrating global and local features embedded in the images. Using this approach, the retrieval is a two-stage process with the global features serve as an initial filtering mechanism to eliminate the significantly dissimilar images. The remaining images are then considered for the subsequent local feature based similarity matching. The two-stage retrieval mechanisms have been implemented in a metaserver. Extensive experiments have been co...
