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在早期现代绘画中,使用计算方法识别手的姿势

Valentine Bernasconi¹, Eva Cetinić², Leonardo Impett³

¹Digital Visual Studies, University of Zurich, 8006 Zurich, Switzerland.

Journal of imaging

|June 27, 2023

概括

研究人员创建了一个新的数据集,用于早期现代绘画中的手姿势. 这使得艺术中手势的计算分析成为可能,进步了数字人文和艺术史研究.

科学领域:

艺术史艺术史艺术史
数字人文学科数字人文学科
计算机视觉计算机视觉

背景情况:

手对于艺术中的叙事和象征至关重要,但缺乏系统的研究.
现有的艺术史分析缺乏对描绘的手姿势的全面分类.

研究的目的:

从欧洲早期现代绘画中创建一个有注释的绘画手姿势数据集.
介绍和解决一个新的计算分类任务,用于描绘的手姿势.

主要方法:

利用人类姿势估计 (HPE) 来从绘画中提取手.
使用艺术史分类方案手动注释手图像.
开发和实验2D手键点功能和基于神经网络的功能进行分类.

主要成果:

成功创建了一个新的注释数据集的图形手姿势.
建立了一个新的分类任务,用于识别艺术中微妙的手势.
展示了计算方法分析绘画中的手姿势的潜力.

结论:

开发的数据集和分类任务为数字艺术史研究提供了新的途径.
这项工作推进了HPE方法对艺术图像的应用.
它鼓励进一步研究视觉艺术中手势的解释.

关键词:

有注释的数据集.数字艺术史数字艺术史数字人文学科数字人文学科早期的现代,早期的现代.手的手势手势手势手的姿势手的姿势手的姿势估计手的姿势估计.图像的分类图像的分类.画作画作画作画作

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