Results 81 to 90 of about 8,729 (215)
, 2002 ... are computed from a data set containing a significant proportion of outliers. The RANSAC algorithm is possibly the most widely used robust estimator in the field of computer vision.
Ondrej Chum, Jiri Matas
core
A Linear Fitting Algorithm Based on Modified Random Sample Consensus
Applied SciencesWhen performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. We propose a linear fitting algorithm based on Locality-Sensitive Hashing (LSH) and Random Sample Consensus (RANSAC ...
Yujin Min +3 more
doaj +1 more source
Parallel RANSAC for Point Cloud Registration
, 2017 In this paper, a project and implementation of the parallel RANSAC algorithm in CUDA architecture for point cloud registration are presented. At the beginning, a serial state of the art method with several heuristic improvements from the literature ...
Daniel Koguciuk
core +2 more sources
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
doaj +1 more source
Algoritmo di RANSAC: panoramica, confronti, applicazioni [PDF]
, 2013 La tesi si occupa della presentazione del problema della modellizzazione di dati in presenza di outlier, facendo una panoramica sulle questioni più spinose, presentando l’algoritmo di RANSAC come soluzione, successivamente confrontandolo con l’algoritmo ...
Zanchettin, Alessio
core
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
doaj +1 more source
Vision Based Multiple Target Tracking Using Recursive RANSAC [PDF]
, 2015 In this thesis, the Recursive-Random Sample Consensus (R-RANSAC) multiple target tracking (MTT) algorithm is further developed and applied to video taken from static platforms. Development of R-RANSAC is primarily focused in three areas: data association,
Ingersoll, Kyle
core
Optimize Fundamental Matrix Estimation Based on RANSAC
, 2011 Fundamental matrix estimation is a central problem in computer vision and forms the basis of tasks such as stereo imaging and structure from motion, and which is especially difficult since it is often based on correspondences that are spoilt by noise and
Jun Zhou
core +1 more source
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
doaj +1 more source
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.
openaire +2 more sources