A review of techniques for 3d reconstruction of indoor environments
Indoor environment model reconstruction has emerged as a significant and challenging task
in terms of the provision of a semantically rich and geometrically accurate indoor model …
in terms of the provision of a semantically rich and geometrically accurate indoor model …
[HTML][HTML] 3D building reconstruction from single street view images using deep learning
HE Pang, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …
built environment, but their acquisition remains complex and topical. Approaches to …
Semantic visual localization
JL Schönberger, M Pollefeys… - Proceedings of the …, 2018 - openaccess.thecvf.com
Robust visual localization under a wide range of viewing conditions is a fundamental
problem in computer vision. Handling the difficult cases of this problem is not only very …
problem in computer vision. Handling the difficult cases of this problem is not only very …
Semantic match consistency for long-term visual localization
Robust and accurate visual localization across large appearance variations due to changes
in time of day, seasons, or changes of the environment is a challenging problem which is of …
in time of day, seasons, or changes of the environment is a challenging problem which is of …
Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts
Abstract We present Zillow Indoor Dataset (ZInD): A large indoor dataset with 71,474
panoramas from 1,524 real unfurnished homes. ZInD provides annotations of 3D room …
panoramas from 1,524 real unfurnished homes. ZInD provides annotations of 3D room …
Robust image retrieval-based visual localization using kapture
M Humenberger, Y Cabon, N Guerin, J Morat… - arXiv preprint arXiv …, 2020 - arxiv.org
Visual localization tackles the challenge of estimating the camera pose from images by
using correspondence analysis between query images and a map. This task is computation …
using correspondence analysis between query images and a map. This task is computation …
A cross-season correspondence dataset for robust semantic segmentation
M Larsson, E Stenborg… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we present a method to utilize 2D-2D point matches between images taken
during different image conditions to train a convolutional neural network for semantic …
during different image conditions to train a convolutional neural network for semantic …
A review of visual-based localization
X Xin, J Jiang, Y Zou - … of the 2019 International Conference on Robotics …, 2019 - dl.acm.org
The visual-based localization (VBL) obtains the corresponding pose estimation in the
localization system by utilizing various useful information in the surrounding environment …
localization system by utilizing various useful information in the surrounding environment …
Fine-grained segmentation networks: Self-supervised segmentation for improved long-term visual localization
Long-term visual localization is the problem of estimating the camera pose of a given query
image in a scene whose appearance changes over time. It is an important problem in …
image in a scene whose appearance changes over time. It is an important problem in …
PLADE: A plane-based descriptor for point cloud registration with small overlap
Traditional point cloud registration methods require large overlap between scans, which
imposes strict constraints on data acquisition. To facilitate registration, users have to …
imposes strict constraints on data acquisition. To facilitate registration, users have to …