Description: a copylefted C implementation of a technique for non-linear, robust
homography estimation from matched image point features. Platform: |
Size: 47937 |
Author:sjtuzyk |
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Description: homest is a C/C++ implementation of an algorithm for non-linear, robust homography estimation from matched image point features that is distributed under the GNU General Public License. Platform: |
Size: 51826 |
Author:Doffery |
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Description: a copylefted C implementation of a technique for non-linear, robust
homography estimation from matched image point features.-a copylefted C implementation of a technique for non-linear, robusthomography estimation from matched image point features. Platform: |
Size: 48128 |
Author:sjtuzyk |
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Description: homest is a C/C++ implementation of an algorithm for non-linear, robust homography estimation from matched image point features that is distributed under the GNU General Public License. -homest is a C/C++ implementation of an algorithm for non-linear, robust homography estimation from matched image point features that is distributed under the GNU General Public License. Platform: |
Size: 52224 |
Author:Doffery |
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Description: 针对视觉伺服机器人手眼定位问题,采用非线性系统理论中的无源化方法,在不需要物体
的深度精确值、几何模型及单应性矩阵的计算情况下,设计了摄像机的平移和旋转速度,同时使用
自适应控制方法对深度进行估计 -Visual servoing for robot hand-eye positioning using nonlinear system theory in the passive method, the depth of objects without the need for precise values, the geometric model and homography calculation, the design of the camera translation and rotation speed, while the use of adaptive control method for depth estimation Platform: |
Size: 262144 |
Author:李仲旭 |
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Description: 此代码是用C++写的计算平面单应的程序，利用到了LM优化，对于计算机视觉研究人员应该很有用-his is homest, a copylefted C implementation of a technique for non-linear, robust
homography estimation from matched image point features Platform: |
Size: 225280 |
Author:吴文欢 |
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Description: This provides a variant, called ORSA, of the well known RANSAC method for
model parameter estimation. It is based on an a contrario criterion of
inlier/outlier discrimination, is parameter free and relies on an optimized
random sampling procedure.
The generic approach is explained and applied to the robust estimation of a
homography registering two images.
Platform: |
Size: 972800 |
Author:mutunake |
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Description: The estimation of the homography between two views is a key step in many applications involving multiple view geometry. The homography exists between two views between projections of points on a 3D plane. A homography exists also between projections of all points if the cameras have purely rotational motion. A number of algorithms have been proposed for the estimation of the homography relation between two images of a planar scene. They use features or primitives ranging from simple points to a complex ones like non-parametric curves. Different algorithms make different assumptions on the imaging setup and what is known about them. This article surveys several homography estimation techniques from the literature. The essential theory behind each method is presented briefly and compared with the others. Experiments aimed at providing a representative analysis and
comparison of the methods discussed are also presented in the paper Platform: |
Size: 141312 |
Author:加菲631
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