Results 181 to 190 of about 30,930 (225)

Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation

IEEE Transactions on Geoscience and Remote Sensing, 2021
Point cloud registration (PCR) is an important task in photogrammetry and remote sensing, whose goal is to seek a seven-parameter similarity transformation to register a pair of point clouds. Traditional iterative closest point (ICP) variants highly rely
Jiayuan Li, Qingwu Hu, M. Ai
semanticscholar   +1 more source

Locally Optimized RANSAC

2003
A new enhancement of ransac, the locally optimized ransac (lo-ransac), is introduced. It has been observed that, to find an optimal solution (with a given probability), the number of samples drawn in ransac is significantly higher than predicted from the mathematical model.
Ondřej Chum, Jiří Matas, Josef Kittler   +2 more
openaire   +1 more source

Real-time Vanishing Point Detector Integrating Under-parameterized RANSAC and Hough Transform

IEEE International Conference on Computer Vision, 2021
We propose a novel approach that integrates underparameterized RANSAC (UPRANSAC) with Hough Transform to detect vanishing points (VPs) from un-calibrated monocular images.
Jianping Wu, Liang Zhang, Ye Liu, Ke Chen   +3 more
semanticscholar   +1 more source

1-Point RANSAC

2011
Random Sample Consensus (RANSAC) has become one of the most successful techniques for robust estimation from a data set that may contain outliers. It works by constructing model hypotheses from random minimal data subsets and evaluating their validity from the support of the whole data.
Javier Civera, Andrew J. Davison, José María Martínez Montiel   +2 more
openaire   +1 more source

Mobility Fitting using 4D RANSAC

Computer Graphics Forum, 2016
AbstractCapturing the dynamics of articulated models is becoming increasingly important. Dynamics, better than geometry, encode the functional information of articulated objects such as humans, robots and mechanics. Acquired dynamic data is noisy, sparse, and temporarily incoherent.
Hao Li, Guowei Wan, Honghua Li, Andrei Sharf, Kai Xu, Baoquan Chen   +5 more
openaire   +1 more source

Unsupervised change detection using RANSAC

IET International Conference on Visual Information Engineering (VIE 2006), 2006
Detection of changes in images is a much discussed problem in a variety of disciplines, such as remote sensing, surveillance, medicine, civil infrastructure, etc. Fundamentally, two images captured at different time instances differ not only in the subject, but also in the conditions when the images were captured, namely, illumination, atmospheric ...
B. Sharma, I. Rishabh, S. Rakshit
openaire   +1 more source

Performance Evaluation of RANSAC Family

Procedings of the British Machine Vision Conference 2009, 2009
RANSAC (Random Sample Consensus) has been popular in regression problem with samples contaminated with outliers. It has been a milestone of many researches on robust estimators, but there are a few survey and performance analysis on them. This paper categorizes them on their objectives: being accurate, being fast, and being robust.
Sunglok Choi, Taemin Kim, Wonpil Yu
openaire   +1 more source

Distributed RANSAC for 3D reconstruction

SPIE Proceedings, 2008
Many low or middle level 3D reconstruction algorithms involve a robust estimation and selection step by which parameters of the best model are estimated and inliers fitting this model are selected. The RANSAC algorithm is the most widely used robust algorithm for this step. However, this robust algorithm is computationally demanding.
Mai Xu, Maria Petrou
openaire   +1 more source

Radar odometry with recursive-RANSAC

IEEE Transactions on Aerospace and Electronic Systems, 2016
This paper explores the use of radar odometry for Global Positioning System–denied navigation. The range progression from arbitrary ground-based point scatterers is used to estimate an unmanned aerial vehicle’s relative motion. In high clutter environments, the recursive-RANSAC algorithm provides robust and efficient feature identification, data ...
Eric B. Quist, Peter C. Niedfeldt, Randal W. Beard   +2 more
openaire   +1 more source

DT-RANSAC: A Delaunay Triangulation Based Scheme for Improved RANSAC Feature Matching

2013
The main objective in content-based image retrieval is to find images similar to a query image in an image collection. Matching using descriptors computed from regions centered at local invariant interest points (keypoints) have become popular because of their robustness to changes in viewpoint and occlusion.
Priyadarshi Bhattacharya, Marina Gavrilova   +1 more
openaire   +1 more source