Results 101 to 110 of about 8,729 (215)
RANSAC for the adjacent images in Fig 4.
RANSAC for the adjacent images in Fig 4.
Xue-Ming Wei (6180599) +2 more
core +1 more source
Estimating the homography matrix between images captured under radically different camera poses and zoom factors is a complex challenge. Traditional methods rely on the Random Sample Consensus (RANSAC) algorithm, which requires pairs of homologous points,
George Nousias +2 more
doaj +1 more source
Feature Matching via Self-Adjusting Reliable Correspondence Set and Early Termination
Feature matching is a fundamental task in remote sensing and 3-D vision. In this article, a new feature matching algorithm is proposed under the random sample consensus (RANSAC) interaction model in which the global RANSAC works on the initial ...
Kuo-Liang Chung, Jui-Che Chang
doaj +1 more source
SEGMENTAÇÃO DE FACES DE TELHADOS DE EDIFÃCIOS EM DADOS DE VARREDURA A LASER USANDO O MÉTODO RANSAC
Este trabalho propõe um método para a segmentação dos planos de telhados de edifícios presentes em dados de varredura a LASER, tendo por base técnicas de processamento de imagem e o método RANSAC.
Michelle Sayuri Yano +1 more
doaj
Underground mining operations may lead to extensive surface environmental issues such as ground subsidence, cracks, and water accumulation. Obtaining high-precision mining subsidence prediction parameters in advance allows for accurate prediction of ...
Yuanfei Chen, Lei Wang
doaj +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (I).
Efficiency comparison between traditional RANSAC and our algorithm (I).
Jingshan Huang (492525) +3 more
core +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (II).
Efficiency comparison between traditional RANSAC and our algorithm (II).
Jingshan Huang (492525) +3 more
core +1 more source
Efficiency comparison between traditional RANSAC and our algorithm (Overall).
Efficiency comparison between traditional RANSAC and our algorithm (Overall).
Jingshan Huang (492525) +3 more
core +1 more source
In this thesis, the problem of robust estimation of a multiple view geometry in the computer vision is studied. The main focus is put on random sampling techniques for an estimation of two-view geometries, in particular homography and epipolar ...
Lebeda Karel
core
RANSAC-based training data selection for speaker state recognition [PDF]
We present a Random Sampling Consensus (RANSAC) based training approach for the problem of speaker state recognition from spontaneous speech. Our system is trained and tested with the INTERSPEECH 2011 Speaker State Challenge corpora that includes the ...
Erzin, E. +3 more
core

