A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset
In this paper we propose a shape recognition approach applied to a dataset composed of 512 shoeprints where shapes are strongly occluded. We provide a local adaptation of the HRT (Histogram Radon Transform) descriptor. A shoeprint is decomposed into its connect components and describes locally by the local HRT. Then, following this description, we find the best local matching between the connected components and the similarity between two images is defined as mean of local similarity measures.
KeywordsShape matching local descriptor histogram of Radon transform
- 3.Tabbone, S., Ramos Terrades, O., Barrat, S.: Histogram of Radon transform. A useful descriptor for shape retrieval. In: International Conference on Pattern Recognition, Tampa, pp. 1–4 (2008)Google Scholar