Retrieving 2D shapes by similarity based on bag of salience points
This paper proposes a novel shape feature description based on salient points, called Bag of Salience Points (BoSP) The proposed descriptor is compact and provides a fast solution for finding the correspondences of two set of salient points, contributing to speed up the task of shape matching. The novelty of the proposed descriptor lies in combining local sparse features (salient points) encoded in global and spatial based histograms with a few other shape factors like eccentricity. The proposed shape descriptor retrieves the best matching, even in occlusions situations, where points in the two shapes cannot be properly matched. The BoSP is validated on several benchmark datasets for 2D shape matching algorithms, and it is observed that the BoSP maintains superior discriminative, while being invariant to geometric transformations as well as demanding a low computational cost to measure the similarity of shapes.
Multimedia Tools and Applications