Partial Matching of Planar Polygons Under Translation and Rotation

Curve matching is an important computational task for domains such as: reconstruction of archaeological fragments, forensics investigation, measuring melodic similarity, and model-based object recognition. There are a variety of measures and algorithmic approaches used to address the curve matching problem including: shape signature strings with substring matching, geometric hashing, and Hausdorff distance approaches. In this paper we propose an approach that uses a turning function representation of the shape and also uses a L2 measure for comparing matches. The novel algorithm presented finds the best match along a fixed length portion of two polygon's perimeters where the polygons may be arbitrarily translated and rotated. The algorithm's time complexity is O(mn(n + m)) where n and m are the numbers of vertices in the perimeters being matched. The utility of the algorithm is demonstrated in the reconstruction of a small jigsaw puzzle.

• Type: Conference
• Year: 2008
• Where: CCCG
• Authors: Eric McCreath
• Keywords: CCCG 2008, Computational Geometry, Curve Matching Problem, Important Computational Task, Shape Signature Strings