Zobrazeno 1 - 10
of 439
pro vyhledávání: '"A. Calway"'
We study the image-based geolocalization problem, aiming to localize ground-view query images on cartographic maps. Current methods often utilize cross-view localization techniques to match ground-view query images with 2D maps. However, the performa
Externí odkaz:
http://arxiv.org/abs/2308.05993
We propose a novel end-to-end RGB-D SLAM, iDF-SLAM, which adopts a feature-based deep neural tracker as the front-end and a NeRF-style neural implicit mapper as the back-end. The neural implicit mapper is trained on-the-fly, while though the neural t
Externí odkaz:
http://arxiv.org/abs/2209.07919
We introduce a segmentation-guided approach to synthesise images that integrate features from two distinct domains. Images synthesised by our dual-domain model belong to one domain within the semantic mask, and to another in the rest of the image - s
Externí odkaz:
http://arxiv.org/abs/2204.09015
It is well known that visual SLAM systems based on dense matching are locally accurate but are also susceptible to long-term drift and map corruption. In contrast, feature matching methods can achieve greater long-term consistency but can suffer from
Externí odkaz:
http://arxiv.org/abs/2203.13861
We describe a novel approach to indoor place recognition from RGB point clouds based on aggregating low-level colour and geometry features with high-level implicit semantic features. It uses a 2-stage deep learning framework, in which the first stage
Externí odkaz:
http://arxiv.org/abs/2202.02070
Autor:
Loli Kim, Niamh Calway
Publikováno v:
Frontiers in Communication, Vol 9 (2024)
‘Foodscaping’ seeks to understand how meaning is made through humans’ interaction with food in particular environments through a multimodal and interdisciplinary analytical lens. As part of a foodscaping project, researchers often interpret foo
Externí odkaz:
https://doaj.org/article/fd45b161b7ee406eaa0d08568fba72ff
We propose a novel object-augmented RGB-D SLAM system that is capable of constructing a consistent object map and performing relocalisation based on centroids of objects in the map. The approach aims to overcome the view dependence of appearance-base
Externí odkaz:
http://arxiv.org/abs/2108.02522
We present a novel approach to geolocalising panoramic images on a 2-D cartographic map based on learning a low dimensional embedded space, which allows a comparison between an image captured at a location and local neighbourhoods of the map. The rep
Externí odkaz:
http://arxiv.org/abs/1911.08797
We present a method for simultaneous localisation and wind turbine model fitting for a drone performing an automated surface inspection. We use a skeletal parameterisation of the turbine that can be easily integrated into a non-linear least squares o
Externí odkaz:
http://arxiv.org/abs/1904.04523
We present a novel method of integrating image-based measurements into a drone navigation system for the automated inspection of wind turbines. We take a model-based tracking approach, where a 3D skeleton representation of the turbine is matched to t
Externí odkaz:
http://arxiv.org/abs/1902.10474