Counting Van Gogh and Vermeer

项目摘要“计数货车高和弗米尔”自动线程计数算法，自2007年以来由Rick约翰逊教授（康奈尔大学）和Don约翰逊教授（莱斯大学）开发，准备对技术艺术史的实践产生深远的影响。这项工作是一个开拓性的努力，在新兴的应用信号和图像处理的分析绘画。该方法是基于利用光谱分析的X射线的绘画。由于帆布线之间的铅白色接地层厚度较大，X射线可显示周期性强度图案。随着创新的应用程序，&speci#64257;通过C信号处理，X射线数据的光谱中的局部峰值可以分别显示（几乎）垂直和（几乎）水平取向的线的每厘米线数，即线数。这样的线程计数以前已经使用过，但它们的手动获取被证明成本太高，无法彻底完成。引入组装以前不可想象的线密度和角度图案图的能力，在绘画的整个表面上的高细节导致基于相关性的识别画布共享相同的线密度变化的图案。这样的编织图和匹配现在可以在单个艺术家或学校的画布上的所有绘画中进行组装，从而显着扩展了艺术史学家的能力，例如，约会和归属。这种计数项目的规模、广度和深度代表了技术艺术史能力的大胆飞跃。这笔赠款支持了如此大规模的项目的分析阶段：（i）文森特货车高的所有画作（数据可在2010年底获得）和（ii）约翰内斯·弗米尔职业生涯期间德尔夫特学校的所有画作（数据可在2010年底获得）之间的线计数和随后的编织匹配。这项资助将里克教授和唐约翰逊教授置于数据融合、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。正在建立的纱线计数报告档案，包括为编织匹配提供指纹的编织密度图和表征尖点的角度图，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时，形成了一个突破性的资源。该项目是一项长期努力的一部分，旨在将线计数的实用性从X射线扩展到所有合适的画布上的油画，以及旧绘画大师和原始画布的无衬里背面的照片，例如，现代色彩领域画家和设计和装饰艺术中突出的密集编织，多图案织物。

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) vertically 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 detail 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 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.