Results 1 to 10 of about 30,861 (166)

Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
We propose Graph-Cut RANSAC, GC-RANSAC in short, a new robust geometric model estimation method where the local optimization step is formulated as energy minimization with binary labeling, applying the graph-cut algorithm to select inliers. The minimized
Daniel Barath, Jiří Matas
exaly   +2 more sources

Improved RANSAC Point Cloud Spherical Target Detection and Parameter Estimation Method Based on Principal Curvature Constraint

open access: yesSensors, 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   +2 more sources

Direct and accurate feature extraction from 3D point clouds of plants using RANSAC

open access: yesComputers and Electronics in Agriculture, 2021
While point clouds hold promise for measuring the geometrical features of 3D objects, their application to plants remains problematic. Plants are three dimensional (3D) organisms whose morphology is complex, varies from one individual to another and ...
Morteza Ghahremani   +2 more
exaly   +2 more sources

Centralized RANSAC-Based Point Cloud Registration With Fast Convergence and High Accuracy

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
For point cloud registration, the purpose of this article is to propose a novel centralized random sample consensus (RANSAC) (C-RANSAC) registration with fast convergence and high accuracy.
Kuo-Liang Chung, Wei-Tai Chang
doaj   +2 more sources

An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud

open access: yesRemote Sensing, 2022
A common problem with matching algorithms, in photogrammetry and computer vision, is the imperfection of finding all correct corresponding points, so-called inliers, and, thus, resulting in incorrect or mismatched points, so-called outliers.
Bahram Salehi, Sina Jarahizadeh
exaly   +2 more sources

LiDAR Filtering in 3D Object Detection Based on Improved RANSAC

open access: yesRemote Sensing, 2022
At present, the LiDAR ground filtering technology is very mature. There are fewer applications in 3D-object detection due to the limitations of filtering accuracy and efficiency.
Wang Bingxu
exaly   +2 more sources

Accelerated RANSAC for Accurate Image Registration in Aerial Video Surveillance

open access: yesIEEE Access, 2021
Compared with ground views and direct overhead views (for orbital satellites), aerial robotics allow for capturing videos from diverse viewpoints and scenes, thus, the content of aerial image is complex and changeable, and aerial video has complex inter ...
Jin Zheng, Wei Peng, Yue Wang, Bo Zhai
doaj   +2 more sources

IMPROVING THE UAV-DERIVED DSM BY INTRODUCING A MODIFIED RANSAC ALGORITHM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The process of finding correspondence points among the overlapping images is called matching. The matching process is one of the fundamental steps in photogrammetry and computer vision with primarily application in 3D model reconstruction.
B. Salehi, S. Jarahizadeh
doaj   +2 more sources

Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms [PDF]

open access: yesScientific Reports
Underground mining operations may lead to extensive surface environmental issues such as ground subsidence, cracks, and water accumulation. Obtaining high-precision mining subsidence prediction parameters in advance allows for accurate prediction of ...
Yuanfei Chen, Lei Wang
doaj   +2 more sources

Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications [PDF]

open access: yesSensors
The application of LiDAR technology in extracting individual trees and stand parameters plays a crucial role in forest surveys. Accurate identification of individual tree trunks is a critical foundation for subsequent parameter extraction.
Shaobo Ma   +4 more
doaj   +2 more sources

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