Semi-Automatic Perspective Lines from Paintings

Conference Paper (2022)
Author(s)

Yoann Coudert-Osmont (Lorraine University)

Elmar Eisemann (TU Delft - Computer Graphics and Visualisation)

Ricardo Marroquim (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.2312/gch.20221219
More Info
expand_more
Publication Year
2022
Language
English
Research Group
Computer Graphics and Visualisation
Pages (from-to)
23-32
Publisher
The Eurographics Association
ISBN (print)
978-3-03868-178-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Perspective cues play an important role in painting analysis as it may unveil important characteristics about the painter's techniques and creation process. Nevertheless, extracting perspective lines and their corresponding vanishing points is usually a laborious manual task. Moreover, small variations in the lines may lead to large variations in the vanishing points. In this work, we propose a semi-automatic method to extract perspective lines from paintings in order to mitigate the human variability factor and reduce the workload.