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ARCA 2.0: Automatic Recognition of Color for Archaeology through a Web-Application

机译:ARCA 2.0:通过Web应用程序自动识别考古学的颜色

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ARCA stands for Automatic Recognition of Color for Archaeology. Color specification is a common and critical issue for archaeologists, motivated by the need to identify and catalogue color names. For these purposes, Munsell Soil Color Charts (MSCCs) are widely employed. However, archaeologists are used to perform color specification by visual means, through a procedure that was proved to be time consuming, subjective and error-prone. In its first version, ARCA has been presented as the products of our project to realize an application that could be objective and easy to use directly in the excavation sites. In this paper, we present ARCA 2.0: a totally reshaped method for color specification relying onto empiric transformations specifically tuned for cultural heritage color specification. As in the previous version, ARCA 2.0 is made for RGB to HVC (Munsell) color conversion. We validate and assess the newer method, releasing a set of coefficients that can be used by other researchers for color specification tasks. We also present a demo of the web application based onto experimental results achieved during this research.
机译:ARCA代表自动识别考古学的颜色。颜色规范是考古学家的共同和批评问题,需要识别和编目颜色名称的需要。出于这些目的,广泛采用Munsell土壤彩色图表(MSCC)。然而,考古学家通过视觉方式通过视觉方式进行颜色规范,通过被证明是耗时,主观和容易出错的程序。在其第一个版本中,Arca已作为我们项目的产品呈现,以实现可能是客观且易于在挖掘网站中使用的应用程序。在本文中,我们提供了Arca 2.0:依赖于专门调整文化遗产颜色规范的经验转换的彩色规格的完全重塑方法。与以前的版本一样,Arca 2.0用于RGB到HVC(Munsell)颜色转换。我们验证并评估更新的方法,释放可由其他研究人员使用的一组系数进行颜色规范任务。我们还基于在本研究期间实现的实验结果的Web应用程序的演示。

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