Results 11 to 20 of about 30,930 (225)
Consensus-Adaptive RANSAC [PDF]
arXiv.org, 2023 RANSAC and its variants are widely used for robust estimation, however, they commonly follow a greedy approach to finding the highest scoring model while ignoring other model hypotheses. In contrast, Iteratively Reweighted Least Squares (IRLS) techniques
L. Cavalli +3 more
semanticscholar +3 more sources
RANSAC for Robotic Applications: A Survey
Sensors, 2022 Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers.
J. M. Martínez-Otzeta +3 more
semanticscholar +5 more sources
DSAC — Differentiable RANSAC for Camera Localization [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally hand-crafted pipelines have been replaced by deep learning pipelines, which can be trained in an ...
Eric Brachmann +6 more
semanticscholar +4 more sources
Geodesy and Cartography, 2012 Up‐to‐date digital photogrammetry involves operations on huge data sets, and with classical image processing procedures it might be time consuming to find out the best solution.
Birutė Ruzgienė, Wolfgang Förstner
doaj +3 more sources
Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection [PDF]
Algorithms, 2017 In this paper, a robust technique based on a genetic algorithm is proposed for estimating two-view epipolar-geometry of uncalibrated perspective stereo images from putative correspondences containing a high percentage of outliers.
Mozhdeh Shahbazi +2 more
doaj +2 more sources
Research on a Density-Based Clustering Method for Eliminating Inter-Frame Feature Mismatches in Visual SLAM Under Dynamic Scenes [PDF]
SensorsVisual SLAM relies on the motion information of static feature points in keyframes for both localization and map construction. Dynamic feature points interfere with inter-frame motion pose estimation, thereby affecting the accuracy of map construction ...
Zhiyong Yang +6 more
doaj +2 more sources
Constant elasticity of substitution function based RANSAC for image stitching [PDF]
MATEC Web of Conferences, 2021 Feature matching is very important in image stitching. RANSAC algorithm is a representative algorithm for feature matching. However, RANSAC still has many shortcomings such as a large number of iterations, a large computational complexity and cannot ...
Zhuang Shengbin, Cao Lin, Guo Yanan
doaj +1 more source
Določitev položaja cerkvenega zvonika s terestričnim laserskim skeniranjem ( = Determination of church belfry position using terrestrial laser scanning) [PDF]
Geodetski Vestnik, 2020 In the past, church belfries, due to their shape and higher layout, often served as reference points in surveying. With the development of satellite based positioning methods and the establishment of the D96/TM coordinate system, they slowly lost their ...
Tine Hren +2 more
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds
Energy Engineering and Control Systems, 2023 Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs).
Anatoliy Zhuchenko +3 more
doaj +1 more source
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 This article studies the challenging two-view 3D reconstruction problem in a rigorous sparse-view configuration, which is suffering from insufficient correspondences in the input image pairs for camera pose estimation. We present a novel Neural One-PlanE
Bin Tan, Nan Xue, Tianfu Wu, Guisong Xia
semanticscholar +1 more source