Results 21 to 30 of about 30,930 (225)
Improving Plane Fitting Accuracy with Rigorous Error Models of Structured Light-Based RGB-D Sensors
Remote Sensing, 2020 Plane fitting is a fundamental operation for point cloud data processing. Most existing methods for point cloud plane fitting have been developed based on high-quality Lidar data giving equal weight to the point cloud data.
Yaxin Li +5 more
doaj +1 more source
Prospects of Consumer-Grade UAVs for Overpass Bridges Pier Pads Alignment
Remote Sensing, 2023 The use of Unmanned Aerial Vehicles (UAVs) for surveying is at the forefront of their use in the Architectural Engineering and Construction (AEC) industry.
Hasan Abdulhussein Jaafar +1 more
doaj +1 more source
Combined Method for Segmentation of Multiple Needles in 3D Liver CT
Current Directions in Biomedical Engineering, 2023 Radiofrequency ablation is a minimally invasive technique for treating liver or kidney tumors, where precisely inserted ablation probes destroy the tumor tissue with induced heat around their tips.
Moravová Adéla +2 more
doaj +1 more source
On the Benefits of Color Information for Feature Matching in Outdoor Environments
Robotics, 2020 The detection and description of features is one basic technique for many visual robot navigation systems in both indoor and outdoor environments. Matched features from two or more images are used to solve navigation problems, e.g., by establishing ...
Annika Hoffmann
doaj +1 more source
Exploiting low-cost 3D imagery for the purposes of detecting and analyzing pavement distresses [PDF]
, 2020 Road pavement conditions have significant impacts on safety, travel times, costs, and environmental effects. It is the responsibility of road agencies to ensure these conditions are kept in an acceptable state.
Di Mino G., Inzerillo L., Roberts R.
core +1 more source
Production of a homogeneous seismic catalog based on machine learning for northeast Egypt
Open Geosciences, 2021 This research presents a new approach which addresses the conversion of earthquake magnitude as a supervised machine-learning problem through a multistage approach.
Moustafa Sayed S. R. +2 more
doaj +1 more source
FEATURE MATCHING ENHANCEMENT USING THE GRAPH NEURAL NETWORK (GNN-RANSAC) [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Improving the performance of feature matching plays a key role in computers vision and photogrammetry applications, such as fast image recognition, Structure from Motion (SFM), aerial triangulation, Visual Simultaneous Localization and Mapping (VSLAM ...
A. Elashry, C. Toth
doaj +1 more source
E-Jurnal Matematika, 2014 The presence of outliers in observation can result in biased in parameter estimation using ordinary least square (OLS). Robust regression MM-estimator is one of the estimations methods that able to obtain a robust estimator against outliers.
NI PUTU NIA IRFAGUTAMI +2 more
doaj +1 more source
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses [PDF]
IEEE International Conference on Computer Vision, 2019 We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis search, increasing the chance of finding outlier-free minimal sets.
Eric Brachmann, C. Rother
semanticscholar +1 more source
, 2022 A new algorithm is proposed to accelerate RANSAC model quality calculations. The method is based on partitioning the joint correspondence space, e.g., 2D-2D point correspondences, into a pair of regular grids. The grid cells are mapped by minimal sample models, estimated within RANSAC, to reject correspondences that are inconsistent with the model ...
Barath, Daniel, Valasek, Gabor
openaire +2 more sources