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A major problem with traditional skeletonization algorithms is that their results do not always conform to human perceptions since they often contain unwanted artifacts. This paper presents an indirect skeletonization method to reduce these artifacts. The method is based on analyzing regularities and singularities of shapes. A shape is first partitioned(More)
This paper presents an efficient method for extracting the skeleton of a planar shape. The method is based on computing local symmetries of the shape’s linearized contour. The centrelines of the local symmetries form the skeleton of the shape. The method is fast when compared to existing skeletonization methods. The speed-up is usually a factor of more than(More)
An accurate estimation of the target object size and shape is an essential step towards many computer vision applications such as object tracking and object recognition. Due to the presence of cast shadow, these properties cannot be extracted using ordinary object detection systems. This paper introduces an effective method for detecting moving cast shadows(More)
Approximation of contours has been shown to be reliant upon accurate determination of the region of support. In this paper, it is proposed that an adaptive approach will provide improved results and better shape representation. Local optimisation of chords along with desensitising the arc-chord measure to small perturbations is used. Experiment results show(More)