Abstract
The scale-space image, i.e. the plot of the location of the inflection points against the scale of the Gaussian smoothing filter, is an effective description for planar object recognition. Recent techniques of scale-space imaging involve four convolutions for each scale, while our technique by smoothing the curvature of the object contour directly requires only one convolution per scale.
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