Work

Predicting visual field boundaries from head features

Year: 2025

Type: article

Abstract: Light exposure profoundly affects human physiology, including circadian rhythms and hormonal regulation. Current methods to assess light exposure often ignore anatomical factors that influence how much light reaches the retina. This study introduces a novel simulation pipeline to model visual field (VF) boundaries as a function of head anatomy. Using the parametric ICT Face Model and the Mitsuba 3 rendering engine, we generated diverse 3D head shapes and simulated light interactions to predict VF boundaries. The results reveal significant variability in VF boundaries, influenced by anatomical features such as the nose, cheeks, and eyebrows. This leads to differences in projected solid angles of the VF of up to 18.7%. This study highlights the importance of individual approaches in estimating light exposure.

Source: Journal of the Optical Society of America A

DOI: 10.1364/josaa.551858

Authors: Uday Nakade, Manuel Spitschan

Institutions: Max Planck Institute for Biological Cybernetics, Technical University of Munich

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Wellcome Trust, Max-Planck-Gesellschaft, Technische Universität München

Award: G2696557059