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arXiv · 1506.09174

Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks

Jongpil Kim·Vladimir Pavlovic
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Abstract

In this paper, we propose a novel method to find characteristic landmarks on ancient Roman imperial coins using deep convolutional neural network models (CNNs). We formulate an optimization problem to discover class-specific regions while guaranteeing specific controlled loss of accuracy. Analysis on visualization of the discovered region confirms that not only can the proposed method successfully find a set of characteristic regions per class, but also the discovered region is consistent with human expert annotations. We also propose a new framework to recognize the Roman coins which exploits hierarchical structure of the ancient Roman coins using the state-of-the-art classification power of the CNNs adopted to a new task of coin classification. Experimental results show that the proposed framework is able to effectively recognize the ancient Roman coins. For this research, we have collected a new Roman coin dataset where all coins are annotated and consist of observe (head) and reverse (tail) images.

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Jongpil Kim, Vladimir Pavlovic. 2015-07-01. Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks. https://doi.org/10.1117/1.jei.26.1.011018

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