Counting Van Gogh and Vermeer

细数梵高和维米尔

• 批准号: 1048344
• 负责人: Don Johnson
• 金额: $ 2.08万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1048344&HistoricalAwards=false
• 关键词: Counting; Van; Gogh; Vermeer

PROJECT ABSTRACT ?Counting Van Gogh and Vermeer? Automated thread counting algorithms, in development since 2007 by Professors Rick Johnson (Cornell University) and Don Johnson (Rice University), are poised for a profound impact on the practice of technical art history. This work is a pioneering effort in the emerging application of signal and image processing to the analysis of paintings. The approach is based on the utilization of spectral analysis of x-rays of paintings. X-rays can display the periodic intensity pattern due to the greater thickness of the lead white ground between the canvas threads. With the addition of innovative application-specific signal processing, local peaks in the spectrum of the x-ray data can reveal the numbers of threads per centimeter, i.e. a thread count, separately for (nearly) ver- tically and (nearly) horizontally oriented threads. Such thread counts have been used previously, but their manual acquisition proved too costly to be done thoroughly. The introduction of the capability to assemble previously unthinkable thread density and angle pattern maps of high de- tail across the entire surface of a painting leads to correlation-based identification of canvases sharing the same pattern in thread density variations. Such weave maps and matches can now be assembled across all of the paintings on canvas of a single artist or school, thereby significantly extending the art historian?s capabilities in, for example, dating and attribution. The scale, breadth, and depth of such thread-counting projects represent a bold leap in the capabilities of technical art history. This grant supports the analysis phase of the first projects of such grand scope: the thread counting and subsequent weave matching among (i) all of the paintings by Vincent van Gogh (for which data can be obtained by the end of 2010) and (ii) all of the paintings by the Delft School during the career of Johannes Vermeer (for which data can be obtained by the end of 2010). This grant places Professors Rick and Don Johnson in the center of the data fusion, data analysis and database creation activities that are scheduled to occur in Amsterdam during the spring of 2011. The archives being established of thread count reports, including weave density maps providing fingerprints for weave matching and angle maps for characterizing cusping, form a groundbreaking resource at a time when museums are just beginning to address the technological and cultural barriers to technical data sharing among museums and collaborating researchers outside the museum. This project is part of a long-term effort that aims to expand the utility of thread counting from x-rays to all suitable oil paintings on canvas, and to photos of unlined backs of old master paintings and of the raw canvas, for example, of the modern colorfield painters and of densely-woven, multi-pattern fabrics prominent in the design and decorative arts.

项目摘要？算上梵高和弗米尔吗？自2007年以来，由康奈尔大学(Cornell University)教授里克·约翰逊(Rick Johnson)和赖斯大学教授唐·约翰逊(Don Johnson)开发的自动线程计数算法将对技术艺术史的实践产生深远影响。这项工作是新兴的信号和图像处理应用于绘画分析的开创性努力。这种方法是基于对绘画的X射线进行光谱分析的基础上的。X射线可以显示周期性的强度图案，这是由于帆布线之间的铅白底厚度较大。通过添加创新的应用程序专用信号处理，X射线数据频谱中的局部峰值可以分别显示(几乎)垂直和(几乎)水平方向的线程数，即每厘米的线程数。这样的线程计数以前也曾使用过，但事实证明，手动获取它们的成本太高，无法彻底完成。将之前难以想象的线密度和角度图案图组合在整个绘画表面上的能力的引入，导致了基于相关性的阳离子画布在线密度变化中共享相同的图案。这样的编织地图和配对现在可以在一个艺术家或画派的画布上的所有画作上组装起来，从而巧妙地扩展了艺术历史学家S在约会和归属方面的能力。这种计线项目的规模、广度和深度代表着技术艺术史能力的大胆飞跃。这笔赠款支持第一个规模宏大的项目的分析阶段：(I)文森特·梵高的所有画作(数据可在2010年底获得)和代尔夫特学校在Johannes Vermeer职业生涯中的所有画作(数据可于2010年底获得)的线计数和随后的编织匹配。这笔赠款将Rick和Don Johnson教授置于数据融合、数据分析和数据库创建活动的中心，这些活动计划于2011年春季在阿姆斯特丹举行。在博物馆刚刚开始解决博物馆和博物馆外合作研究人员之间技术数据共享的技术和文化障碍之际，正在建立的线数报告档案，包括提供用于编织匹配的编织密度图和用于表征针尖的角度图，构成了一个开创性的资源。这个项目是一个长期努力的一部分，旨在将线计数的用途从X射线扩展到画布上所有合适的油画，以及旧绘画大师的无衬里背面的照片和原始画布的照片，例如，现代彩色老画家和在设计和装饰艺术中突出的密集编织的多图案织物的照片。