EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition
Event cameras are rapidly rising in popularity for robotic and computer vision tasks because their sparse activation delivers energy-efficient, high-dynamic-range, and fast sensing. Event cameras have been used in robotic navigation and localization tasks where positioning must occur in real time with sufficient accuracy. However, current event-based localization methods suffer from poor spatial understanding and are not viewpoint tolerant. In this paper, we address the problem of viewpoint-robust place recognition directly from event streams. We present EventGeM, a global-to-local feature fusion pipeline for event-based visual place recognition that combines whole-image feature detection...
| Authors | Adam D. Hines, Gokul B. Nair, Nicolás Marticorena et al. |
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| Primary category | cs.CV |
| Published | 6 March 2026 |
| Last updated at source | 18 September 2026 |
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