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http://dx.doi.org/10.3837/tiis.2014.12.016

WLSD: A Perceptual Stimulus Model Based Shape Descriptor  

Li, Jiatong (School of Information and Electronics, Beijing Institute of Technology)
Zhao, Baojun (School of Information and Electronics, Beijing Institute of Technology)
Tang, Linbo (School of Information and Electronics, Beijing Institute of Technology)
Deng, Chenwei (School of Information and Electronics, Beijing Institute of Technology)
Han, Lu (School of Information and Electronics, Beijing Institute of Technology)
Wu, Jinghui (School of Information and Electronics, Beijing Institute of Technology)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.12, 2014 , pp. 4513-4532 More about this Journal
Abstract
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.
Keywords
Shape descriptor; shape retrieval; multi-scale representation; feature selection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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