WLSD: A Perceptual Stimulus Model Based Shape Descriptor

• Jiatong Li,
• Baojun Zhao,
• Linbo Tang,
• Chenwei Deng,
• Lu Han,
• Jinghui Wu,

Vol. 8, No. 12, December 30, 2014
10.3837/tiis.2014.12.016, Download Paper (Free):

• Shape descriptor
• shape retrieval
• multi-scale representation
• Feature selection

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.

Statistics

Cite this article