6 papers
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Low-overhead visual place recognition (VPR) is a highly active research topic. Mobile robotics applications often operate under low-end hardware, and even more hardware capable sys…
A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
Rose Power, Mubariz Zaffar, Bruno Ferrarini +3
Visual Place Recognition (VPR) has been a subject of significant research over the last 15 to 20 years. VPR is a fundamental task for autonomous navigation as it enables self-local…
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
State-of-the-art visual place recognition performance is currently being achieved utilizing deep learning based approaches. Despite the recent efforts in designing lightweight conv…
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Bruno Ferrarini, Maria Waheed, Sania Waheed +3
Visual Place Recognition (VPR) is a fundamental yet challenging task for small Unmanned Aerial Vehicle (UAV). The core reasons are the extreme viewpoint changes, and limited comput…
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis +2
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.…
Automatic Selection of the Optimal Local Feature Detector
Bruno Ferrarini, Shoaib Ehsan, Naveed Ur Rehman +2
A large number of different feature detectors has been proposed so far. Any existing approach presents strengths and weaknesses, which make a detector optimal only for a limited ra…