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Description: C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision
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Size: 77653 |
Author: ly |
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Description: Background: Projective geometry (2D, 3D), Parameter estimation, Algorithm evaluation.
Single View: Camera model, Calibration, Single View Geometry.
Two Views: Epipolar Geometry, 3D reconstruction, Computing F, Computing structure, Plane and homographies.
Three Views: Trifocal Tensor, Computing T.
More Views: N-Linearities, Multiple view reconstruction, Bundle adjustment, auto-calibration, Dynamic SfM, Cheirality, Duality
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Size: 94682592 |
Author: panxizhang |
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Description: C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision-err
Platform: |
Size: 77824 |
Author: ly |
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Description: 计算机视觉中的三焦点张量以及基本矩阵的计算 -Computer Vision Trifocal Tensor and the calculation of the basic matrix
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Size: 77824 |
Author: cysong168 |
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Description: 对离散特征点进行直线拟合，效果很好，文件中还有平面拟合的例子，以及三焦点张量的部分主要程序，希望对需要的人有帮助-Discrete feature point fitting a straight line, with good results, part of the main program file plane fitting example trifocal tensor hope that those who need help
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Size: 99328 |
Author: 平兆娜 |
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