DocumentCode :
3275157
Title :
A finite element contour approach to affine invariant shape representation
Author :
Ning Ding ; Huihuan Qian ; Yangsheng Xu
Author_Institution :
Mech. & Autom. Eng. Dept., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1451
Lastpage :
1455
Abstract :
This paper1 presents a novel shape representation approach, Finite Element Contour (FEC), based on studies of shape analysis from the perspective of Finite Element Method (FEM). We assume that an edge of a contour can be modeled as a bendable beam element. Linking finite number of beam elements end to end along the contour, we obtain a closed-loop Finite Element Contour model as an approximate physical model of the original shape. By this model, we can calculate its natural frequency, which is one of mechanical properties that directly related to the geometric shape, and employed it as the shape representation. FEC shape feature possesses translation and rotation invariant properties naturally. We also realized scale and unique affine normalization in few simple steps based on intrinsic physical properties of shape from FEM viewpoint. Experimental results validated that the proposed FEC feature is capable of identifying shape in object recognition task. It also can describe shape deformation. In the well-known MPEG 7 shape retrieval task, the enhanced FEC approach obtains Bullseye score 87.11%.
Keywords :
approximation theory; finite element analysis; image representation; image retrieval; object recognition; Bullseye score; FEC approach; FEM perspective; MPEG 7 shape retrieval task; affine invariant shape representation approach; affine normalization; approximate physical model; bendable beam element; closed-loop finite element contour model; contour edge; finite element contour approach; finite element method; geometric shape; object recognition task; rotation invariant properties; scale normalization; shape analysis; shape deformation; shape identification; translation invariant properties; Affine normalization; Contour shape representation; Finite Element Method; Natural Frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738298
Filename :
6738298
Link To Document :
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