Efficient descriptor for full and partial shape matching

摘要

In this paper we present a new approach for full and partial shape retrieval based on a shape descriptor invariant to geometric transformations, reflection and deformation. The proposed description is a set of features that capture simultaneously global and local properties of the shape. To achieve the best matching, we propose a novel matching algorithm based on Dynamic Time Warping. The proposed method is evaluated in two cases: partial and full matching. The experimental results demonstrate that our approach outperforms existing methods of partial shape retrieval and gives comparable results for full shape retrieval.