L-shaped geometry-based pattern descriptor serving shape retrieval

Abstract

Feature representation patterns serving shape retrieval have gained considerable attention over recent years. Accordingly, a geometry-based characterization arrangement based on the l-shape pattern is adopted in this paper for shape description. The presented l-shape pattern descriptor bounds shape edges for providing highly localized distinct features supporting characterization. Then a novel feature representation scheme fabricates these shapes into histograms subsequently, employed for matching and retrieval. The metric Bull’s Eye Retrieval (BER) rate is deployed for retrieval analysis on the Kimia-99, MPEG-7 and Tari-1000 datasets that reveal a uniform and remarkable performance higher than 90% over its predecessors. The congruence nature of the l-shaped geometrical arrangement ensures its robustness towards diverse affine transformations and warrants increased performance. The complexity associated with descriptor realization along space and time reveals its lightweight simplicity and efficiency.