An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extended attributed string matching for shape recognition
Computer Vision and Image Understanding
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral object recognition by indexing
Pattern Recognition
Two-dimensional object recognition through two-stage string matching
IEEE Transactions on Image Processing
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A robust shape matching approach should be invariable to rotation transition and scale. In this paper, a multiscale shape matching approach is presented based on discrete curve evolution. Given different maximum transform error, using haar transform, we can not only decompose 2D object into polygonal curve but also induce a hierarchical structure of shape. Combining "Coarse level" with "fine level" in hierarchical similarity matching, the retrieval of shape image can be effective for both retrieval accuracy and efficiency.