Title :
Angular Pattern and Binary Angular Pattern for Shape Retrieval
Author :
Rong-Xiang Hu ; Wei Jia ; Haibin Ling ; Yang Zhao ; Jie Gui
Author_Institution :
Inst. of Nucl. Energy Safety Technol., Hefei, China
Abstract :
In this paper, we propose two novel shape descriptors, angular pattern (AP) and binary angular pattern (BAP), and a multiscale integration of them for shape retrieval. Both AP and BAP are intrinsically invariant to scale and rotation. More importantly, being global shape descriptors, the proposed shape descriptors are computationally very efficient, while possessing similar discriminability as state-of-the-art local descriptors. As a result, the proposed approach is attractive for real world shape retrieval applications. The experiments on the widely used MPEG-7 and TARI-1000 data sets demonstrate the effectiveness of the proposed method in comparison with existing methods.
Keywords :
video coding; video retrieval; MPEG-7; TARI-1000 data set; binary angular pattern; discriminability; global shape descriptors; multiscale integration; shape retrieval applications; state-of-the-art local descriptors; Accuracy; Feature extraction; Histograms; Indexes; Robustness; Shape; Transform coding; Shape retrieval; angular features; binary pattern; multi-scale representation;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2013.2286330