Results 91 to 100 of about 30,930 (225)
Medical Physics, Volume 53, Issue 2, February 2026.Abstract Background Glioblastoma (GBM) growth can alter surrounding brain tissue through location‐dependent physiological changes. Two main growth phenotypes—(I) infiltrative, characterized by diffuse invasion with minimal mass effect, and (II) proliferative, characterized by pronounced tissue compression—are recognized, but their quantitative ...
Carles López‐Mateu +7 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.
Wang, Xiaoyan, Zhang, Hui, Liu, Sheng
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Motion of moving camera from point matches: comparison of two robust estimation methods
IET Computer Vision, 2014 A robust estimation method, Balanced Least Absolute Value Estimator (BLAVE), is introduced and compared with the traditional RANdom SAmple Consensus (RANSAC) method. The comparison is performed empirically by applying both estimators on the camera motion
Milan Horemuz, Yueming Zhao
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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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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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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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Creating Panoramic Images Using ORB Feature Detection and RANSAC-based Image Alignment
American Control Conference, 2023 Kexin Wu
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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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An Improved RANSAC Surface Reconstruction Study
Journal of Physics: Conference Series, 2019 Abstract Surface reconstruction technology has always been an important research area in graphic image. However, efficiently processing massive amounts of high-precision point cloud data is still a problem worth studying. Based on the characteristics of point cloud data and the existing research results, this paper proposes a RANSAC ...
Ma Li +3 more
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Fixing the RANSAC Stopping Criterion
For several decades, RANSAC has been one of the most commonly used robust estimation algorithms for many problems in computer vision and related fields. The main contribution of this paper lies in addressing a long-standing error baked into virtually any system building upon the RANSAC algorithm. Since its inception in 1981 by Fischler and Bolles, many
Schönberger, Johannes +2 more
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