Results 171 to 180 of about 30,930 (225)

Dynamic RANSAC

SPIE Proceedings, 2006
In this paper, the classical RANSAC approach is considered for robust matching to remove mismatches (outliers) in a list of putative correspondences. We will examine the justification for using the minimal size of sample set in a RANSAC trial and propose that the size of the sample set should be varied dynamically depending on the noise and data set ...
Hung, YS, Sze, WF, Tang, WK
openaire   +2 more sources

RGB-D Images for Objects Recognition using 3D Point Clouds and RANSAC Plane Fitting

International Bhurban Conference on Applied Sciences and Technology, 2021
in this paper, we highlighted object localization and recognition using RGB-D images that is top of RGB scenarios and provide semantically richer pixel-level support aps for individual object.
Ahmad Jalal, M. Sarwar, Kibum Kim
semanticscholar   +1 more source

Image denoising using RANSAC and compressive sensing

Multimedia Tools and Applications, 2022
Image denoising is a vital image processing phase aiming to improve the quality of images and to make them more informative. In this paper, we propose a blind denoising approach for removing the outliers (impulsive disturbances) from digital images, by combining the random sample consensus (RANSAC) and compressive sensing (CS) principles.
I. Stanković, M. Brajović, J. Lerga, M. Daković, L. Stanković   +4 more
semanticscholar   +3 more sources

Toward Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration

IEEE transactions on circuits and systems for video technology (Print), 2021
This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) pose from feature correspondences remains a popular approach to 3D rigid ...
Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Qian Zhang, Yanning Zhang, Z. Cao   +5 more
semanticscholar   +1 more source

Hierarchical RANSAC-Based Rotation Averaging

IEEE Signal Processing Letters, 2020
In this letter, we present a novel rotation averaging pipeline, which is performed in a hierarchical manner. Unlike the traditional rotation averaging methods which focus on designing robust loss function to get rid of the impacts of the relative rotation outliers, here the outliers are detected and filtered by leveraging the well-known robust model ...
Xiang Gao, Jiazheng Luo, Kunqian Li, Zexiao Xie   +3 more
openaire   +1 more source

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

IEEE Transactions on Intelligent Vehicles
There is an urgent need for high-accuracy and high-reliability navigation and positioning in life safety fields such as intelligent transportation and automotive driving, especially in complex urban environments.
Quan Zhang, Huan Lin, Longyang Ding, Qijin Chen, Tisheng Zhang, Xiaoji Niu   +5 more
semanticscholar   +1 more source

LiDAR-camera calibration method based on ranging statistical characteristics and improved RANSAC algorithm

Robotics Auton. Syst., 2021
For sensory data fusion, a calibration method between 3D light detection and ranging (LiDAR) and color camera based on ranging statistical characteristics and improved RANSAC algorithm is proposed.
Xiaobin Xu, Lei Zhang, Jian Yang, Cong Liu, Yiyan Xiong, Minzhou Luo, Zhiying Tan, Bo Liu   +7 more
semanticscholar   +1 more source

An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC

IEEE Geoscience and Remote Sensing Letters, 2022
Image registration based on phase correlation has drawn extensive attention due to its high accuracy and efficiency. However, due to changes in image content, nonlinear gray difference, and other noises of image pairs, the line fitting of phase angle ...
Yunyun Dong, Chenbin Liang, Zengguo Sun
semanticscholar   +1 more source

DL-RANSAC: An Improved RANSAC with Modified Sampling Strategy Based on the Likelihood

2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC), 2019
This paper intends to improve the RANSAC by introducing new sampling method which provides prior knowledge of random population before selecting the hypothesis set. In traditional RANSAC algorithm, a minimal set of samples are chosen randomly from the population containing uneven noise and iteration continues until the desired model is found. Ambiguity
Miftahur Rahman, Xueyuan Li, Xufeng Yin
openaire   +1 more source

A Real-Time and High Precision Hardware Implementation of RANSAC Algorithm for Visual SLAM Achieving Mismatched Feature Point Pair Elimination

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
The visual SLAM (vSLAM) algorithm is becoming a research hotspot in recent years because of its low cost and low delay. Due to the advantage of fitting irregular data input, random sample consensus (RANSAC) has become a commonly used method in vSLAM to ...
Wenzheng He, Zikuo Lu, Xin Liu, Ziwei Xu, Jingshuo Zhang, Chen Yang, Li Geng   +6 more
semanticscholar   +1 more source