Spatial Memory for AR Glasses: Hierarchical Visual Acquisition and Source-Linked Recall
This paper presents a spatial-memory system for optical see-through AR glasses that recalls past physical encounters. It uses a dual-camera prototype with hierarchical visual acquisition, source-linked storage, and staged retrieval to selectively capture RGB views from monochrome observations. In a 131.35-second replay, the system selected six RGB views from 648 monitoring observations while running feature extraction on 97.7% of observations, demonstrating efficient selective capture. The architecture separates capture acceptance, interpretation, and question support, enabling bounded reassessment and source-dependent retention.
Provides a concrete, recent architecture for persistent AR spatial memory with quantitative results, useful for AR and computer vision researchers.
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