Results 81 to 90 of about 9,523 (214)
RANSAC for the adjacent images in Fig 4.
, 2019 RANSAC for the adjacent images in Fig 4.
Xue-Ming Wei (6180599) +2 more
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Improved RANSAC features image-matching method based on SURF
The Journal of Engineering, 2019 For the speed of traditional SIFT algorithm in the feature extraction and matching is slow, the article proposes an improved RANSAC features image matching method based on speeded up robust features (SURF).
Jinliang Liu, FanLiang Bu, FanLiang Bu
doaj +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (Overall).
, 2013 Efficiency comparison between traditional RANSAC and our algorithm (Overall).
Jingshan Huang (492525) +3 more
core +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (II).
, 2013 Efficiency comparison between traditional RANSAC and our algorithm (II).
Jingshan Huang (492525) +3 more
core +1 more source
A Linear Fitting Algorithm Based on Modified Random Sample Consensus
Applied SciencesWhen performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. We propose a linear fitting algorithm based on Locality-Sensitive Hashing (LSH) and Random Sample Consensus (RANSAC ...
Yujin Min +3 more
doaj +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (I).
, 2013 Efficiency comparison between traditional RANSAC and our algorithm (I).
Jingshan Huang (492525) +3 more
core +1 more source
Reliable RANSAC Using a Novel Preprocessing Model
Computational and Mathematical Methods in Medicine, 2013 Geometric assumption and verification with RANSAC has become a crucial step for corresponding to local features due to its wide applications in biomedical feature analysis and vision computing. However, conventional RANSAC is very time-consuming due to redundant sampling times, especially dealing with the case of numerous matching pairs.
Xiaoyan Wang 0007 +2 more
openaire +3 more sources
Preemptive RANSAC for live structure and motion estimation [PDF]
Machine Vision and Applications, 2003 A system capable of performing robust live ego-motion estimation for perspective cameras is presented. The system is powered by random sample consensus with preemptive scoring of the motion hypotheses. A general statement of the problem of efficient preemptive scoring is given.
openaire +2 more sources
Motion of moving camera from point matches: comparison of two robust estimation methods
IET Computer Vision, 2014 A robust estimation method, Balanced Least Absolute Value Estimator (BLAVE), is introduced and compared with the traditional RANdom SAmple Consensus (RANSAC) method. The comparison is performed empirically by applying both estimators on the camera motion
Milan Horemuz, Yueming Zhao
doaj +1 more source
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC [PDF]
, 2015 Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization. Different RANdom SAmple Consensus (RANSAC)-based methods have been
Azorin-Lopez, Jorge +3 more
core +1 more source