Results 11 to 20 of about 3,994 (183)
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
RANSAC for Robotic Applications: A Survey
Sensors, 2022 Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a sampling of the minimum data needed to perform an estimation, followed by an evaluation of its adequacy, and further repetitions of ...
José María Martínez-Otzeta +3 more
openaire +4 more sources
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
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
, 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 ...
Daniel Barath, Gábor Valasek
openaire +2 more sources
Automatic RANSAC by Likelihood Maximization
Image Processing On Line, 2022 In computer vision, and particularly in 3D reconstruction from images, it is customary to be faced with regression problems contaminated by outlying data. The standard and efficient method to deal with them is the Random Sample Consensus (RANSAC) algorithm.
Riu, Clément +2 more
openaire +2 more sources
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 A novel method for robust estimation, called Graph-Cut RANSAC, GC-RANSAC in short, is introduced. To separate inliers and outliers, it runs the graph-cut algorithm in the local optimization (LO) step which is applied when a so-far-the-best model is found. The proposed LO step is conceptually simple, easy to implement, globally optimal and efficient. GC-
Daniel Barath, Jiri Matas
openaire +4 more sources
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
Sensors, 2022 Spherical targets are widely used in coordinate unification of large-scale combined measurements. Through its central coordinates, scanned point cloud data from different locations can be converted into a unified coordinate reference system.
Qinghua Wu +5 more
doaj +1 more source