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• The paper introduces a 2D geometry-driven, constellation-based pipeline for multi-glint detection and matching that focuses on reproducibility and clear evaluation.method 95%
• The framework treats glints as structured constellations rather than independent blobs, inspired by lost-in-space star identification.method 90%
• The proposed Similarity-Layout Alignment (SLA) procedure adapts constellation matching to the specific constraints of multi-LED eye tracking.method 90%
• The framework provides stable identity-preserving correspondence under noisy conditions when evaluated on a public multi-LED dataset.result 85%
• The framework keeps detection and correspondence explicitly separated.technical 80%
• Current corneal reflection detection is often handled as heuristics embedded within larger systems, making reproducibility difficult across hardware setups.limitation 75%
• The framework incorporates controlled over-detection, adaptive candidate fallback, appearance-aware scoring, and optional semantic layout priors.method 85%
• The authors release code, presets, and evaluation scripts to enable transparent replication, comparison, and dataset annotation.method 95%

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