Abstract
Current methods for encoding and comparing shapes are computationally demanding and are not suitable for image processing in small portable devices. Here, we describe a simple scan encoding method for transcribing shape information into a 1-D summary. Summaries were derived from an inventory of unknown shapes, and these values were used to scale the degree of similarity of pair combinations. The scale values provided a significant level of prediction of human judgments in a match recognition task, suggesting substantial correspondence with human perception of shape similarity. Similarity scores derived with the Procrustes method did not predict human judgments.
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