BAS: a perceptual shape descriptor based on the beam angle statistics
Pattern Recognition Letters
An Effective Salience-Based Algorithm for Shape Matching
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Scale invariant and deformation tolerant partial shape matching
Image and Vision Computing
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In this study, we present the two dimensional object silhouette by a one dimensional descriptor, which preserves the perceptual structure of its shape. The proposed descriptor is based on the moments of the angles between the bearings of a point on the boundary, in a set of neighborhood systems. At each point on the boundary, the angle between a pair of bearings is calculated to extract the topological information of the boundary in a given locality. The proposed method does not use any heuristic rule or empirical threshold value in the shape representation. The similarity between the patterns is measured by elastic matching of thedescriptors. The proposed shape descriptor is tested on dataset of MPEG 7 Core Experiments Shape-1. The experiments show better results than the previous studies reported in the literature.