Counting Van Gogh and Vermeer

项目摘要？算上梵高和维米尔？自2007年以来，由康奈尔大学的Rick Johnson教授和莱斯大学的Don Johnson教授开发的自动线程计数算法对技术艺术史的实践产生了深远的影响。这项工作是信号和图像处理在绘画分析中的新兴应用的开创性努力。该方法基于对绘画x射线光谱分析的利用。x射线可以显示周期性的强度模式，因为帆布线之间的铅白色地面厚度更大。增加了创新的应用规范&amp；#64257；C信号处理，x射线数据光谱中的局部峰可以显示每厘米的线程数，即线程数，分别为（近）垂直和（近）水平方向的线程。这种线程计数以前已经使用过，但事实证明，手工获取它们的成本太高，无法彻底完成。在一幅画的整个表面上组装以前不可想象的螺纹密度和高尾角图案图的能力的引入，导致了基于相关性的识别。在线条密度变化中共享相同图案的画布的阳离子。这种编织地图和火柴现在可以在单个艺术家或学派的画布上的所有画作中组装起来，从而具有重要意义。坎特利延伸艺术史学家？例如，在日期和归属方面的能力。这种线计数项目的规模、广度和深度代表了技术艺术史能力的一次大胆飞跃。这项拨款支持研究计划的分析阶段。其他如此大范围的项目：(i)文森特·梵高（Vincent van Gogh）的所有画作（数据可于2010年底获得）和（ii）约翰内斯·维米尔（Johannes Vermeer）职业生涯中代尔夫特学派（Delft School）的所有画作（数据可于2010年底获得）之间的纱线计数和随后的编织匹配。这项资助将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。正在建立的线程数报告档案，包括提供的编织密度图&amp；#64257；当博物馆刚刚开始解决博物馆之间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，用于编织匹配的指纹和用于表征尖形的角度图形成了突破性的资源。这个项目是一项长期努力的一部分，旨在将线计数的应用范围从x射线扩展到所有合适的帆布油画，以及古代大师画作的无衬里背面和原始帆布的照片，例如，现代色彩的照片。在设计和装饰艺术中突出的密集编织的、多图案的织物。

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) 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.