17 citations · 44 across the 28 of their papers we have counts for
9 papers · 1 filter
Removing the Compute Bottleneck for Event-based Visual Place Recognition with Spiking Neural Networks
Somayeh Hussaini, Tobias Fischer, Michael Milford
Neuromorphic sensing and computing promise low latency and high energy efficiency for robotics, yet most event-based visual place recognition (VPR) pipelines reintroduce dense, fra…
Image-Space Refraction Correction for Underwater 3D Reconstruction: Warping Flat-Port Views into Pinhole Perspective
Chelim Lim, Tobias Fischer, Emilio Olivastri +3
Consumer-grade cameras in flat-port housings are widely used for underwater exploration and mapping of coral reefs and seafloor habitats due to their low cost and accessibility. Ho…
The EventCV Library for Event-Based Robotic Vision
Adam D. Hines, Michael Milford, Tobias Fischer
Event cameras detect per-pixel brightness changes asynchronously on microsecond timescales, with high dynamic range and low power draw. These are desirable properties for robots th…
Multi-viewpoint Geo-localization with Event Cameras
Adam D. Hines, Michael Milford, Tobias Fischer
Robot localization is an ongoing challenge that demands mapping and positioning systems that are tolerant to viewpoint change. Event cameras are attracting increasing interest and…
DisPlace: Discriminative Place Projections for Multi-Reference Visual Place Recognition
Dhyey Manish Rajani, Michael Milford, Tobias Fischer
A key challenge in Visual Place Recognition (VPR) is matching query images against reference maps captured under diverse environmental conditions and viewpoints. While multiple ref…
EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition
Adam D. Hines, Gokul B. Nair, Nicolás Marticorena +2
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…
Automatic Map Density Selection for Locally-Performant Visual Place Recognition
Somayeh Hussaini, Tobias Fischer, Michael Milford
A key challenge in translating Visual Place Recognition (VPR) from the lab to long-term deployment is ensuring a priori that a system can meet user-specified performance requiremen…
Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition
Dhyey Manish Rajani, Michael Milford, Tobias Fischer
Visual Place Recognition (VPR) is a key component for localization in Global Navigation Satellite System (GNSS)-denied environments, but its performance critically depends on selec…
Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
Son Tung Nguyen, Alejandro Fontan, Michael Milford +1
Recent learning-based visual localization methods use global descriptors to disambiguate visually similar places, but existing approaches often derive these descriptors from geomet…