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A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage

A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage. Sebastian Zambanini, Martin Kampel Computer Vision Lab, Vienna University of Technology, Austria { zamba,kampel }@ caa.tuwien.ac.at }. Motivation. Methodology. Results.

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A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage

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  1. A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage Sebastian Zambanini, Martin Kampel Computer Vision Lab, Vienna University of Technology, Austria {zamba,kampel}@caa.tuwien.ac.at}

  2. Motivation Methodology Results • Ancient coin classification is a challenging task, even for human experts • Support by automatic image-based method • We evaluate the top-performing method of [ZKK14] on a large scale dataset • Goal: investigation of real world practicability • [ZKK14] ZAMBANINI S., KAVELAR A., KAMPEL M.: Classifying ancient coins by local feature matching and pairwise geometric consistency evaluation. In Proc. of ICPR(2014). • Dataset: Rom. Rep. coins, 418 classes, 2 images of obv. & rev. side per class • Correct class is under top 5 classes in 93.5% of the cases Exemplar images Compare Low inter-classvariation Class ID High intra-classvariation Titel Intra-class variations: non-rigid deformations

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