Title :
Object recognition using relative-chord context
Author :
Hua, Chai ; Mingqiang, Yang ; Kidiyo, Kpalma ; Joseph, Ronsin
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
In this paper the relative-chord context is proposed for shape description in object recognition. The relative-chord is introduced to obtain the affine-invariant feature. The intervals of parallel chords are normalized by vertical direction-chord. Experimental result based on the Columbia University Coil-100 3D database demonstrates the feasibility of the relative-chord context methodology and also highlights its invariance to affine transforms.
Keywords :
affine transforms; image recognition; Columbia University Coil-100 3D database; affine transforms; affine-invariant feature; object recognition; parallel chords; relative-chord context methodology; shape description; vertical direction-chord; Context; Feature extraction; Histograms; Object recognition; Pattern recognition; Shape; Transforms; affine transforms; object recognition; relative-chord;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768917