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This paper describes a visual shape descriptor based on the sectors and shape context of contour lines to represent the image local features used for image matching. The proposed descriptor consists of two-component feature vectors. First, the local region is separated into sectors and their gradient magnitude and orientation values are extracted; a feature vector is then constructed from these values...
The detection of the stable local image features is one of the most critical tasks for many object recognition algorithms. The Scale Invariant Feature Transform (SIFT) has been shown to be effective to the image matching or object recognition. However, the large number of features generated by the SIFT is a disadvantage for the real time application. In this paper, we present a novel approach to detect...
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