Results 71 to 80 of about 3,994 (183)
Remote Sensing, 2015 RANdom SAmple Consensus (RANSAC) is a widely adopted method for LiDAR point cloud segmentation because of its robustness to noise and outliers. However, RANSAC has a tendency to generate false segments consisting of points from several nearly coplanar ...
Bo Xu +4 more
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Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization
Sensors, 2017 In this paper, we present a novel approach for stereo visual odometry with robust motion estimation that is faster and more accurate than standard RANSAC (Random Sample Consensus).
Yanqing Liu +3 more
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Reliable RANSAC Using a Novel Preprocessing Model
Computational and Mathematical Methods in Medicine, 2013 Geometric assumption and verification with RANSAC has become a crucial step for corresponding to local features due to its wide applications in biomedical feature analysis and vision computing. However, conventional RANSAC is very time-consuming due to redundant sampling times, especially dealing with the case of numerous matching pairs.
Xiaoyan Wang 0007 +2 more
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Preemptive RANSAC for live structure and motion estimation [PDF]
Machine Vision and Applications, 2003 A system capable of performing robust live ego-motion estimation for perspective cameras is presented. The system is powered by random sample consensus with preemptive scoring of the motion hypotheses. A general statement of the problem of efficient preemptive scoring is given.
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Research on navigation method in closed-canopy orchard based on 3D LiDAR
Huanan Nongye Daxue xuebaoObjectiveThe objective of this study is to solve the problem of large longitudinal spacing of fruit trees and the inavailability of global navigation satellite system (GNSS) signals in closed-canopy orchard environment. MethodA navigation method based on
Zhigang ZHANG +5 more
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Least Squares Consensus for Matching Local Features
Information, 2019 This paper presents a new approach to estimate the consensus in a data set. Under the framework of RANSAC, the perturbation on data has not been considered sufficiently.
Qingming Zhang, Buhai Shi, Haibo Xu
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Journal of Cheminformatics, 2017 An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship (QSAR) models. The RANdom SAmple Consensus (RANSAC) algorithm is a predictive modeling tool
Omer Kaspi +2 more
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Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications
SensorsThe 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
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SensorsIndustrial computed tomography (CT) is widely used in the measurement field owing to its advantages such as non-contact and high precision. To obtain accurate size parameters, fitting parameters can be obtained rapidly by processing volume data in the ...
Zhe Wang +4 more
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IEEE AccessEstimating the homography matrix between images captured under radically different camera poses and zoom factors is a complex challenge. Traditional methods rely on the Random Sample Consensus (RANSAC) algorithm, which requires pairs of homologous points,
George Nousias +2 more
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