DocumentCode :
638987
Title :
MFSC: A new shape descriptor with robustness to deformations
Author :
Lunshao Chai ; Zhen Qin ; Honggang Zhang ; Jun Guo ; Bhanu, Bir
Author_Institution :
Beijing Univ. of Posts & Telecomuunictions, Beijing, China
fYear :
2013
fDate :
15-19 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a new shape descriptor, Multi-scale Fuzzy Shape Context (MFSC), highlighted by its robustness to deformations. A novel multi-scale fuzzy model is presented and applied on the widely used shape descriptor Shape Context to generate MFSC. The multi-scale fuzzy model can handle shape deformations of different scales, which makes MFSC robust to various deformations. Experiments on an articulated shape dataset demonstrate performance improvement gained by MFSC over existing methods. We also applied MFSC on a real-world application, Content-Based Product Image Retrieval, and the experimental results further validate its effectiveness. We make our code and experimental data publicly available for future reference.
Keywords :
feature extraction; fuzzy set theory; image retrieval; MFSC shape descriptor; articulated shape dataset; content-based product image retrieval; deformation robustness; multiscale fuzzy shape context descriptor; Context; Deformable models; Histograms; Image retrieval; Robustness; Shape; Multi-scale Fuzzy Model; Multi-scale Fuzzy Shape Context; Shape Context;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICMEW.2013.6618256
Filename :
6618256
Link To Document :
بازگشت