The RANSAC (Random sample and consensus) algorithm is the "gold standard" in eliminating noise. A while ago, I wrote an article on how the RANSAC algorithm is implemented for finding the model of a ...
Acquiring high-quality labels is one of the most critical bottlenecks in machine learning. It is time-consuming and costly to obtain accurate, precise, and a sufficient amount of labels. Sometimes, we ...
Abstract: RANSAC is a popular and robust fitting algorithm. In the field of image processing, RANSAC can be successfully used to reject false correspondences between similar images. Due to its ...
Abstract: An improved RANSAC algorithm based on structural similarity was proposed to improve the speed and accuracy of traditional RANSAC (Random Sample Consensus) algorithm and to reduce iterations ...
ABSTRACT: To address the limitations of traditional multi-camera-IMU state estimation systems—namely, insufficient localization accuracy in complex environments and poor robustness under abnormal IMU ...
1 Department of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China. 2 Department of Machine Science and Service, Tashkent Institute of Textile and Light Industry, Tashkent, ...
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