Media Release | May. 28, 2010

UBC researcher decodes Rembrandt’s “magic”

A University of British Columbia researcher has uncovered what makes Rembrandt’s masterful portraits so appealing.

In the study, published in the current issue of the Massachusetts Institute of Technology’s arts and sciences journal Leonardo, UBC researcher Steve DiPaola argues that Rembrandt may have pioneered a technique that guides the viewer’s gaze around a portrait, creating a special narrative and “calmer” viewing experience.

Renaissance artists used various techniques to engage viewers, many incorporating new scientific knowledge on lighting, spatial layout and perspectives. To isolate and pinpoint factors that contribute to the “magic” of Rembrandt’s portraits, DiPaola used computer-rendering programs to recreate four of the artist’s most famous portraits from photographs of himself and other models. Replicating Rembrandt’s techniques, he placed a sharper focus on specific areas of the model’s face, such as the eyes.

Working with a team from the Vision Lab in UBC’s Dept. of Psychology, DiPaola then tracked the viewers’ eye movements while they examined the original photographs and the Rembrandt-like portraits.

“When viewing the Rembrandt-like portraits, viewers fixated on the detailed eye faster and stayed there for longer periods of time, resulting in calmer eye movements,” says DiPaola, who is also an associate professor at Simon Fraser University and adjunct faculty at UBC’s Media and Graphics Interdisciplinary Centre. “The transition from sharp to blurry edges, known as ‘lost and found edges,’ also directed the viewers eyes around the portrait in a sort of narrative.”

The study is the first to scientifically verify the impact of these “eye guiding” techniques on viewers and to attribute its origin to Rembrandt.

The viewers also preferred portraits with this “eye guiding narrative” to the original photographs with uniform details across the tableau.

“Through these techniques, Rembrandt is essentially playing tour guide to his viewers hundreds of years after his death, creating a unique narrative by guiding the viewers’ eye,” says DiPaola. “This may explain why people appreciate portraiture as an art form.

“Whether he observed how his own eyes behaved while viewing a painting or if he did it by intuition, Rembrandt incorporated an understanding of how the human eye works that has since been proven accurate,” says DiPaola.

Other authors of the study are Prof. James Enns of UBC and Caitlin Riebe of SFU.

NB: Images of the Rembrandt-like portraits and original photographs are available at http://www.dipaola.org/rembrandt.

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Brian Lin
UBC Public Affairs
Tel: 604.822.2234
Cell: 604.818.5685
E-mail: brian.lin@ubc.ca

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Images

Two of the four generated Rembrandt portraits from our computational painting system where we have correct (left - like Rembrandt’s texture agency) and manipulated ( right – switching the eye’s focal sharpness and lower cheek’s edge sharpness). These are close-ups of the originals.

Rendering Images with Variation

From source photographs taking in the blocking/lighting of a Rembrandt portrait, our computational painting system output a portrait painting which can be vary any of its cognitive painting parameters. These variations (blue circles) were used in eye tracking experiments. Copyright: Steve DiPaola

Painterly System

Original late Rembrandt portraits and source photographs of graduate students and faulty which were taking in the same blocking/lighting style. These source photos along with style parameters were used by our computational painting system to generate different rembrant-like results used for our eye tracking experments.

Rembrandt Photos

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