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The paper proposes an approach to recognize road signs in Google Street View panoramic images. The color images formed by special queries from the Google site with a 640×640 resolution serve as the input data for recognition. The recognition of the road signs is carried out by the use of the specific, while the classification is performed by the use of the neural network. The coordinates of the road...
This paper presents a novel circular augmented rotational trajectory (CART) algorithm to compute an R-space based shape descriptors which allow efficient shape matching, generalization and classification. The rotation invariant R-space representation can be used to detect invariant geometric features despite the presence of considerable noise and quantization errors. Moreover, the CART method is corner...
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