Research & Development World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE

Rembrandt ‘Magic’ Decoded

By R&D Editors | June 1, 2010

Rembrandt ‘Magic’ Decoded 

Rembrandt 
Two of four generated Rembrandt portraits from computational painting system featuring 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.

A University of British Columbia (UBC) researcher has uncovered what makes Rembrandt’s masterful portraits so appealing. 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, published in the current issue of the Massachusetts Institute of Technology’s arts and sciences journal Leonardo, 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 James Enns of UBC and Caitlin Riebe of SFU.

Related Articles Read More >

QED-C outlines road map for merging quantum and AI
Quantum computing hardware advance slashes superinductor capacitance >60%, cutting substrate loss
Hold your exaflops! Why comparing AI clusters to supercomputers is bananas
Why IBM predicts quantum advantage within two years
rd newsletter
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, trends, and strategies in Research & Development.
RD 25 Power Index

R&D World Digital Issues

Fall 2024 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R&D magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • Global Funding Forecast

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • R&D World Home
  • Topics
    • Aerospace
    • Automotive
    • Biotech
    • Careers
    • Chemistry
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Software
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
    • Semiconductors
  • R&D Market Pulse
  • R&D 100
    • Call for Nominations: The 2025 R&D 100 Awards
    • R&D 100 Awards Event
    • R&D 100 Submissions
    • Winner Archive
    • Explore the 2024 R&D 100 award winners and finalists
  • Resources
    • Research Reports
    • Digital Issues
    • R&D Index
    • Subscribe
    • Video
    • Webinars
  • Global Funding Forecast
  • Top Labs
  • Advertise
  • SUBSCRIBE