Abstract Visual Place Recognition (VPR) estimates the location of query images by matching
them with images in a reference database. Conventional methods generally adopt …

Visual Geo-localization (VG) is the task of estimating the position where a given photo was
taken by comparing it with a large database of images of known locations. To investigate …

Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant
VPR approaches are environment-and task-specific: while they exhibit strong performance …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

Abstract Visual Place Recognition is a task that aims to predict the place of an image (called
query) based solely on its visual features. This is typically done through image retrieval …

In this paper, we propose a new open-source benchmarking framework for Visual Geo-
localization (VG) that allows to build, train, and test a wide range of commonly used …

Visual Place recognition is commonly addressed as an image retrieval problem. However,
retrieval methods are impractical to scale to large datasets, densely sampled from city-wide …

Abstract Visual Place Recognition is a task that aims to predict the coordinates of an image
(called query) based solely on visual clues. Most commonly, a retrieval approach is adopted …

In this paper we propose a novel method for image matching based on dense local features
and tailored for visual geolocalization. Dense local features matching is robust against …

Over the past decade most methods in visual place recognition (VPR) have used neural
networks to produce feature representations. These networks typically produce a global …