Results 91 to 100 of about 9,523 (214)

Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds

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, Wanshou Jiang, Jie Shan, Jing Zhang, Lelin Li   +4 more
doaj   +1 more source

Randomized RANSAC

, 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  

Recursive-RANSAC: A Novel Algorithm for Tracking Multiple Targets in Clutter [PDF]

, 2014
Multiple target tracking (MTT) is the process of identifying the number of targets present in a surveillance region and the state estimates, or track, of each target.
Niedfeldt, Peter C.
core  

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, Yuzhang Gu, Jiamao Li, Xiaolin Zhang   +3 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  

Research on navigation method in closed-canopy orchard based on 3D LiDAR

Huanan Nongye Daxue xuebao
ObjectiveThe 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, Kaiyuan BAO, Wenyu ZHANG, Fan DING, Zongyi TONG, Fukang ZHOU   +5 more
doaj   +1 more source

-regression-based and a RANSAC-based planar segmentation procedure for urban terrain data with many outliers

, 2013
Paper 889209For urban terrain data with many outliers, we compare an l1-regression-based and a RANSAC-based planar segmentation procedure. The procedure consists of 1) calculating the normal at each of the points using l1 regression or RANSAC, 2 ...
John E. Lavery, Zhibin Deng, Dimitri Bulatov, Shu-Cherng Fang, Bulatov, Dimitri, Jian Luo, Zeng, Zhibin, Lavery, John E., Fang, Shu-Chern, Luo, Jian   +9 more
core   +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  

PROBSAC: Probabilistic RANSAC for Sparse Image Denoising

A probabilistic variant of the random sample consensus (RANSAC) algorithm is introduced for sparse image reconstruction under impulsive noise. Classical RANSAC repeatedly samples uniformly random pixel subsets to fit a local model and identify inliers ...
Milos Dakovic, Jonatan Lerga, Milos Brajovic, Isidora Stankovic, Ljubiša Stanković   +4 more
core   +1 more source

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

Sensors
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, Yongkang Chen, Zhefan Li, Junlin Chen, Xiaolan Zhong   +4 more
doaj   +1 more source