Ziv Goldfeld, assistant professor in electrical and computer engineering, received an IBM 2020 University Award for the theoretical machine learning research he is doing jointly with collaborators... Read more about Ziv Goldfeld receives IBM 2020 University Award
Johnson details computational art history techniques
Professor C. Richard Johnson discussed the techniques he innovated using X-rays and algorithms to analyze works of art in his Nov. 9 talk at the A.D. White House, “Studying Vermeer’s Canvases and Rembrandt’s Papers: Two Examples of Computational Art History.”
Johnson, the Geoffrey S.M. Hedrick Senior Professor of Electrical and Computer Engineering at the College of Engineering and the Jacobs Fellow in Computational Arts and Humanities at the Jacobs Technion-Cornell Institute at Cornell Tech, developed a process using digital imaging to address questions in art history scholarship. He is credited with creating the field of computational art history.
“You become a detective,” he said. “The art historical questions are often linked to artist’s intent, and materials can assist in providing information that can corroborate a hypothesis about an artists’ intent.”
In his presentation, Johnson detailed how canvases can be analyzed through thread counting and weave mapping, aided by use of technology. Computers create detailed color scans of the art based on thread counting, which are later used for analysis. These scans are used to authentic and date the paintings, by showing which paintings came from the same rolls of canvas.
Johnson teaches undergraduates to use the applied mathematics techniques he has developed, providing a rare opportunity for them to participate in projects that are revolutionizing a field of study.
His projects include the analysis of Rembrandt’s drawings on paper by creating digital scans that reveal the watermark on the paper under the drawings.
In the WIRE (Watermark Identification in Rembrandt’s Etchings) project at Cornell in collaboration with the Herbert F. Johnson Museum of Art, Johnson worked with a team of undergraduate student researchers to create a decision tree of data that lists variants of possible watermarks previously encountered in Rembrandt’s work. Students majoring in industrial and labor relations and electrical and computer engineering are part of the team.
“It might be looking at a bunch of images and trying to figure out which features separate them. It might be some code that [the students] have to write to allow the tree to exist as a program,” Johnson said.
Describing the process, he said: “Imagine it’s like playing 20 questions. As a team, we think of the series of questions based on the characteristics of the watermarks. Is it bigger than a bread box, is it brown, etc. Eventually you are left with only one possibility.”
Johnson’s talk inaugurated the Milstein Program in Technology and Humanity speaker series. His work illustrates interdisciplinary research and learning by combining cutting-edge technology with a liberal arts education– a fundamental aspect of the Milstein program’s mission.
“I found it very interesting that he was able to combine these two seemingly separate fields really just because he had interests in both, and wanted to find a way to use technology to find new information that has never really incorporated technology before,” said Reza Madhavan ’22, a current Milstein student.
Catie Rencricca ’22 and Chloe Kanders ’22 are students in the Milstein Program.