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arXiv · 1907.12005

Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks

Xavier Francis·Hamid Sharifzadeh·Angus Newton·Nilufar Baghaei·Soheil Varastehpour
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Abstract

Footwear outsoles acquire characteristics unique to the individual wearing them over time. Forensic scientists largely rely on their skills and knowledge, gained through years of experience, to analyse such characteristics on a shoeprint. In this work, we present a convolutional neural network model that can predict the wear pattern on a unique dataset of shoeprints that captures the life and wear of a pair of shoes. We present an additional architecture able to reconstruct the outsole back to its original state on a given week, and provide empirical evaluations of the performance of both models.

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Xavier Francis, Hamid Sharifzadeh, Angus Newton, Nilufar Baghaei, Soheil Varastehpour. 2019-07-28. Learning Wear Patterns on Footwear Outsoles Using Convolutional Neural Networks. https://arxiv.org/abs/1907.12005

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