Automatic Lens Placement for Personalized 3D Printed Eyewear
Type
conference contribution
Date Issued
2026-12-06
Author(s)
Abstract
The growing need for comfortable eyewear, from prescription frames to AI-enabled glasses, increases the demand for personalized eyewear fitting for different facial morphologies. However, customization is challenging because each custom design must coordinate lens alignment, nose-pad contact, and frame geometry. We propose a pipeline that automatically aligns the lenses with the pupils. Specifically, we reconstruct a 3D face model from smart-phone camera images and extract facial landmarks. We use the pupil landmarks to compute the Interpupillary Distance (IPD) to determine the lens positions. Then we refine the frame mesh using lattice-based deformation. We validate our method by manufacturing a personalized 3D printed eyewear prototype for three test users. All three test users report a comfortable fit, neither too loose not too tight.
Language
English (United States)
Keywords
Personalized Eyeglasses
Photogrammetry
3D printing
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Association for Computing Machinery
Event Title
ACM Symposium on Computational Fabrication
Event Location
Tokyo, Japan
Event Date
06-08 December 2026
Subject(s)
Division(s)