Hierarchical Bag of Paths for Kernel Based Shape Classification

Details Hierarchical Bag of Paths for Kernel Based Shape Classification Hierarchical Bag of Paths for Kernel Based Shape Classification

2008-10-20

arxiv.org/abs/0810.3579v1

Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2008), Orlando : \'Etats-Unis d'Am\'e

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where until recently solely reserved to numerical data. Within the shape classification framework, graphs are often produced by a skeletonization step which is sensitive to noise. We propose in this paper to integrate the robustness to structural noise by using a kernel based on a bag of path where each path is associated to a hierarchy encoding successive simplifications of the path. Several experiments prove the robustness and the flexibility of our approach compared to alternative shape classification methods.

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