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WLSD: A Perceptual Stimulus Model Based Shape Descriptor
( Jiatong Li ),( Baojun Zhao ),( Linbo Tang ),( Chenwei Deng ),( Lu Han ),( Jinghui Wu ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.12
Motivated by the Weber`s Law, this paper proposes an efficient and robust shape descriptor based on the perceptual stimulus model, called Weber`s Law Shape Descriptor (WLSD). It is based on the theory that human perception of a pattern depends not only on the change of stimulus intensity, but also on the original stimulus intensity. Invariant to scale and rotation is the intrinsic properties of WLSD. As a global shape descriptor, WLSD has far lower computation complexity while is as discriminative as state-of-art shape descriptors. Experimental results demonstrate the strong capability of the proposed method in handling shape retrieval.
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