Integration of optimal spatial distributed tie-points in RANSAC-based image registration
European Journal of Remote Sensing, 2020 Feature-based image registration requires the identification of correct tie-points between the image pair. In this paper, an improved outlier method is proposed to find correct matching results of optimal distribution based on RANSAC (RANdom SAmple ...
Sheng Zhang +3 more
doaj +1 more source
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization [PDF]
, 2018 Image-based camera relocalization is an important problem in computer vision and robotics. Recent works utilize convolutional neural networks (CNNs) to regress for pixels in a query image their corresponding 3D world coordinates in the scene.
A Criminisi +10 more
core +5 more sources
Two-View Geometry Estimation Using RANSAC With Locality Preserving Constraint
IEEE Access, 2020 The random sample consensus (RANSAC) based algorithm is widely used in estimating the two-view geometry from image point correspondences. However, it often becomes extremely slow when the data is contaminated by a large percentage of incorrect matches ...
Gang Wang +5 more
doaj +1 more source
A Robust False Matching Points Detection Method for Remote Sensing Image Registration [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Given the influences of illumination, imaging angle, and geometric distortion, among others, false matching points still occur in all image registration algorithms.
X. J. Shan, P. Tang
doaj +1 more source
GMS-RANSAC: A Fast Algorithm for Removing Mismatches Based on ORB-SLAM2
Symmetry, 2022 This paper presents a new method of removing mismatches of redundant points based on oriented fast and rotated brief (ORB) in vision simultaneous localization and mapping (SLAM) systems.
Daode Zhang +4 more
semanticscholar +1 more source
QUALITY ANALYSIS ON RANSAC-BASED ROOF FACETS EXTRACTION FROM AIRBORNE LIDAR DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 RANSAC algorithm is a robust method for model estimation. It is widely used in the extraction of geometry primitives and 3D model reconstruction. However, there has been relatively little comprehensive evaluation in RANSAC-based approach for plane ...
J. Yan, W. Jiang, J. Shan, J. Shan
doaj +1 more source
The Fate of Glutamine in Human Metabolism. The Interplay with Glucose in Proliferating Cells
Metabolites, 2019 Genome-scale models of metabolism (GEM) are used to study how metabolism varies in different physiological conditions. However, the great number of reactions involved in GEM makes it difficult to understand these variations.
Jean-Pierre Mazat, Stéphane Ransac
doaj +1 more source
Geolocation with FDOA Measurements via Polynomial Systems and RANSAC
, 2017 The problem of geolocation of a transmitter via time difference of arrival (TDOA) and frequency difference of arrival (FDOA) is given as a system of polynomial equations.
Bates, Daniel J., Cameron, Karleigh J.
core +1 more source
Randomized RANSAC with T, test [PDF]
Image and Vision Computing, 2004 Abstract Many computer vision algorithms include a robust estimation step where model parameters 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.
J Matas, O Chum
openaire +1 more source
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data
, 2016 This paper proposes a two-view deterministic geometric model fitting method, termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure data.
AS Brahmachari +12 more
core +1 more source