@inproceedings{50f25e2a262b49518c78dfadc55d4ed1,
title = "A digital tool to understand the pictorial procedures of 17 th century realism",
abstract = " 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. ",
keywords = "Convincing rendering, Jan de Heem, Optical mixing, Painting reconstruction",
author = "{Di Cicco}, Francesca and Lisa Wiersma and Maarten Wijntjes and Joris Dik and Jeroen Stumpel and Sylvia Pont",
year = "2018",
doi = "10.1007/978-3-030-11012-3_51",
language = "English",
isbn = "978-3-030-11011-6",
series = "Lecture Notes in Computer Science, Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series",
publisher = "Springer",
pages = "671--675",
editor = "Laura Leal-Taix{\'e} and Stefan Roth",
booktitle = "Computer Vision – ECCV 2018 Workshops, Proceedings",
edition = "Part II",
note = "15th European Conference on Computer Vision, ECCV 2018 ; Conference date: 08-09-2018 Through 14-09-2018",
}