We propose an approach for matching deformed and occluded shapesusing dynamic programming. Our algorithms handle noise and shapedistortions by allowing matching of merged sequences of consecutivesmall segments in a shape, with larger segments of another shape, whilebeing invariant to translation, scale and orientation transformations ofshapes. We illustrate the effectiveness of our algorithms in retrievalof shapes on two different two-dimensional datasets: one of static handgesture shapes and another of marine life shapes
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