
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.
relative-chord, correlation statistics, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, affine transformation, object recognition, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
relative-chord, correlation statistics, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, affine transformation, object recognition, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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