Semi-Automatic Perspective Lines from Paintings

Conference paper (2022)

Authors

Yoann Coudert-Osmont Lorraine University
E. Eisemann Computer Graphics and Visualisation - EEMCS
Ricardo Marroquim Computer Graphics and Visualisation - EEMCS
Research Group
Computer Graphics and Visualisation (EEMCS) (TU Delft)
Copyright: © 2022 Yoann Coudert-Osmont, E. Eisemann, Ricardo Marroquim
DOI: https://doi.org/10.2312/gch.20221219
Image processing Applied computing Computing methodologies Fine arts
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Published Date

2022

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Computer Graphics and Visualisation

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.