Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition with Kernel Density Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
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We present a new shape descriptor for measuring the similarity between shapes and exploit it in graphical object recognition and retrieval. By statistically integrating the local length-ratio and angle constraints between contour points relative to the shape skeleton, we construct the shape descriptor capturing the global spatial distribution of the shape contour. Then, the dissimilarity between two shapes is computed as a weighted sum of matching errors between corresponding constraint histograms. Experimental results are presented for symbols and shapes data set, showing the effectiveness of our method.