A digital tool to understand the pictorial procedures of 17 th  century realism

Francesca Di Cicco*, Lisa Wiersma, Maarten Wijntjes, Joris Dik, Jeroen Stumpel, Sylvia Pont

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


To unveil the mystery of the exquisitely rendered materials in Dutch 17 th century paintings, we need to understand the pictorial procedures of this period. We focused on the Dutch master Jan de Heem, known for his highly convincing still-lifes. We reconstructed his systematic multi-layered approach to paint grapes, based on pigment distribution maps, layers stratigraphy, and a 17 th century textual source. We digitised the layers reconstruction to access the temporal information of the painting procedure. We combined the layers via optical mixing into a digital tool that can be used to answer “what if” art historical questions about the painting composition, by editing the order, weight and colour of the layers.

Original languageEnglish
Title of host publicationComputer Vision – ECCV 2018 Workshops, Proceedings
EditorsLaura Leal-Taixé, Stefan Roth
Place of PublicationCham
EditionPart II
ISBN (Electronic)978-3-030-11012-3
ISBN (Print)978-3-030-11011-6
Publication statusPublished - 2018
Event15th European Conference on Computer Vision, ECCV 2018 - Munich, Germany
Duration: 8 Sep 201814 Sep 2018

Publication series

NameLecture Notes in Computer Science, Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th European Conference on Computer Vision, ECCV 2018


  • Convincing rendering
  • Jan de Heem
  • Optical mixing
  • Painting reconstruction


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