Results 11 to 20 of about 4,693,472 (296)
noRANSAC for fundamental matrix estimation [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry [10]. Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix.
Bellavia, F, TEGOLO, Domenico
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A ROBUST METHOD FOR FUNDAMENTAL MATRIX ESTIMATION WITH RADIAL DISTORTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Fundamental Matrix Estimation is of vital importance in many vision applications and is a core part of 3D reconstruction pipeline. Radial distortion makes the problem to be numerically challenging.
J.-S. Xue, X.-N. Chen, H. Yi
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Properties of the Catadioptric Fundamental Matrix [PDF]
, 2002 The geometry of two uncalibrated views obtained with a parabolic catadioptric device is the subject of this paper. We introduce the notion of circle space, a natural representation of line images, and the set of incidence preserving transformations on this circle space which happens to equal the Lorentz group.
Christopher Geyer +1 more
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Analysis of planar‐motion segmentation using affine fundamental matrix
IET Computer Vision, 2014 Various computer‐vision applications involve estimation of multiple motions from images of dynamic scenes. The exact nature of 3D‐object motions and the camera parameters are often not known a priori and therefore, the most general motion model ...
Shafriza Nisha Basah +2 more
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Cubo, 2023 In this research we introduce a new variation of parameters for systems of linear and nonlinear ordinary differential equations. We use known mathematical methods and techniques including Gronwall’s inequality and fixed point theory to obtain boundedness
Youssef N. Raffoul
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A Novel Error Criterion of Fundamental Matrix Based on Principal Component Analysis
Remote Sensing, 2022 Estimating the fundamental matrix (FM) using the known corresponding points is a key step for three-dimensional (3D) scene reconstruction, and its uncertainty directly affects camera calibration and point-cloud calculation.
Yuxia Bian +5 more
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Fundamental Matrix Computing Based on 3D Metrical Distance
Algorithms, 2021 To reconstruct point geometry from multiple images, computation of the fundamental matrix is always necessary. With a new optimization criterion, i.e., the re-projective 3D metric geometric distance rather than projective space under RANSAC (Random ...
Xinsheng Li, Xuedong Yuan
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Conceptualizing Extreme Beliefs and BehaviorsAbstract Fundamentalism as a social phenomenon is complex and multilayered, and its definition is politically contested. Neither in academic nor in ordinary language use is there much agreement on how one should employ and define the term fundamentalism.
Peels, R. +2 more
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On fundamental matrix solutions [PDF]
Proceedings of the American Mathematical Society, 1954 (1) l[y] -y'A(x)y = 0, s[y] My(a) + Ny(b) = 0, can be represented in terms of the Green's matrix of the system, or in terms of a special generalized Green's matrix in case the system (1) is compatible. For the system (1), A (x) is an n Xn matrix of complex-valued continuous functions of the real variable x on the finite interval a
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MDL, Colllineations and the Fundamental Matrix
Procedings of the British Machine Vision Conference 1999, 1999 Scene geometry can be inferred from point correspondences between two images. The inference process includes the selection of a model. Four models are considered: background (or null), collineation, affine fundamental matrix and fundamental matrix. It is shown how Minimum Description Length (MDL) can be used to compare the different models.
Stephen J. Maybank, Peter F. Sturm
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