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Light Analysis of Paintings at Scale Using Spherical Harmonics

Zapata, Pepe Ballesteros; del Castillo, Darı́o Negueruela; Impett, Leonardo (2024). Light Analysis of Paintings at Scale Using Spherical Harmonics. In: IS&T International Symposium on Electronic Imaging Science and Technology 2024, Burlingame, USA, 21 January 2024 - 25 January 2024. Society for Imaging Science and Technology, 176-1.

Abstract

Light is abstract. Light is difficult to describe with words. Unlike other pictorial motifs such as perspective, light depiction eludes fixed rules and defies straightforward measurement. This study presents a preliminary step towards measuring light information from paintings at scale. We use spherical harmonics to extract light environment features from depicted faces. Our initial evaluation assessed the model’s ability to accurately represent environmental lighting, using natural images with ground truth lighting information. To evaluate performance on paintings on a large-scale setting, we compare our light direction estimates with human annotations over the course of five centuries. Finally, our methodology undergoes validation through an art historical case study. We track the use of diffuse light across seventeenth century Netherlandish portrait painting to commensurate art historical literature with our quantitative measures.

Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:06 Faculty of Arts > Digital Visual Studies
Dewey Decimal Classification:900 History
410 Linguistics
400 Language
Scopus Subject Areas:Physical Sciences > Computer Graphics and Computer-Aided Design
Physical Sciences > Computer Science Applications
Physical Sciences > Human-Computer Interaction
Physical Sciences > Software
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Atomic and Molecular Physics, and Optics
Language:English
Event End Date:25 January 2024
Deposited On:24 Jul 2024 11:12
Last Modified:26 Jul 2024 07:40
Publisher:Society for Imaging Science and Technology
Series Name:Electronic Imaging
Number:14
ISSN:2470-1173
OA Status:Closed
Publisher DOI:https://doi.org/10.2352/ei.2024.36.14.cvaa-176

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