论文标题
自动分析西方艺术中的人体代表
Automatic Analysis of Human Body Representations in Western Art
论文作者
论文摘要
在古典和现代绘画中描述的人体与艺术历史分析有关。每个艺术家都有某些主题和关注点，导致不同的姿势比其他姿势更严重。在本文中，我们提出了一条计算机视觉管道，以分析绘画中的人类姿势和表现形式，这些姿势可用于特定的艺术家或时期。具体而言，我们结合了两种姿势估计方法（分别是敞开和致密），并介绍了处理遮挡和观点问题的方法。为了进行归一化，我们将检测到的姿势和轮廓映射到Leonardo da Vinci的Vitruvian Man，这是身体比例的经典描述。我们提出了一种可视化方法，以说明一组绘画中关节的表达。结合姿势的分层聚类，我们的方法揭示了艺术家使用的常见和罕见的姿势。我们的方法改进了对绘画中人体纯粹基于骨骼的分析。
The way the human body is depicted in classical and modern paintings is relevant for art historical analyses. Each artist has certain themes and concerns, resulting in different poses being used more heavily than others. In this paper, we propose a computer vision pipeline to analyse human pose and representations in paintings, which can be used for specific artists or periods. Specifically, we combine two pose estimation approaches (OpenPose and DensePose, respectively) and introduce methods to deal with occlusion and perspective issues. For normalisation, we map the detected poses and contours to Leonardo da Vinci's Vitruvian Man, the classical depiction of body proportions. We propose a visualisation approach for illustrating the articulation of joints in a set of paintings. Combined with a hierarchical clustering of poses, our approach reveals common and uncommon poses used by artists. Our approach improves over purely skeleton based analyses of human body in paintings.
