mlsanityData to 7 Oct 2026

Breaking the Sub-Millimeter Barrier: Eyeframe Acquisition from Color Images

arXiv 2602.16281 ↗First posted 18 Feb 2026cs.CVcited by 0

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Abstract (arXiv)

Eyeframe lens tracing is an important process in the optical industry that requires sub-millimeter precision to ensure proper lens fitting and optimal vision correction. Traditional frame tracers rely on mechanical tools that need precise positioning and calibration, which are time-consuming and require additional equipment, creating an inefficient workflow for opticians. This work presents a novel approach based on artificial vision that utilizes multi-view information. The proposed algorithm operates on images captured from an InVision system. The full pipeline includes image acquisition, frame segmentation to isolate the eyeframe from background, depth estimation to obtain 3D spatial information, and multi-view processing that integrates segmented RGB images with depth data for precise frame contour measurement. To this end, different configurations and variants are proposed and analyzed on real data, providing competitive measurements from still color images with respect to other solutions, while eliminating the need for specialized tracing equipment and reducing workflow complexity for optical technicians.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 23 of its 41 references that are in the map. First posted on arXiv 18 Feb 2026.

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References · 23

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11 more
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