Shape retrieval based on dynamic programmingShape retrieval based on dynamic programming Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-10-242009enWe propose a shape matching algorithm for deformed shapes based on dynamic programming. Our algorithm is capable of grouping together segments at finer scales in order to come up with appropriate correspondences with segments at coarser scales. We illustrate the effectiveness of our algorithm in retrieval of shapes by content on two different two-dimensional (2-D) datasets, one of static hand gesture shapes and another of marine life shapes. We also demonstrate the superiority of our approach over traditional approaches to shape matching and retrieval, such as Fourier descriptors and geometric and sequential moments. Our evaluation is based on human relevance judgments following a well-established methodology from the information retrieval field.http://creativecommons.org/licenses/by/4.0/IEEE Transactions on Image Processing91141-147 Petrakis Evripidis Πετρακης Ευριπιδης Milios E IEEE