SOURCE-LINKED INTELLIGENCE
Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness
Optical coherence tomography is a promising modality for markerless motion tracking due to its high spatial resolution and inherent depth perception. However, existing OCT-based tracking approaches are limited in terms of trackable velocity, particularly when multiple landmarks are tracked sequentially for 6D pose estimation. In this work, we present a predictive tracking approach that propagates positional updates between multiple tracked landmarks to obtain a global pose prediction. This enables more robust tracking under high velocities. Our results demonstrate RMSEs below 1 mm for velociti
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T10:01:04.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.