Description: 针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。
-against cameras fixed and coplanar binding conditions for target location, a simple new algorithm. The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix. Just use projective geometry of nature, by simple geometry, orders for non-standard video camera in a single image. Solving its two D images from two-dimensional to three real plane D nonlinear single map. The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea. Platform: |
Size: 214744 |
Author:蒋翔俊 |
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Description: 针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。
-against cameras fixed and coplanar binding conditions for target location, a simple new algorithm. The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix. Just use projective geometry of nature, by simple geometry, orders for non-standard video camera in a single image. Solving its two D images from two-dimensional to three real plane D nonlinear single map. The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea. Platform: |
Size: 214016 |
Author:蒋翔俊 |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences. Platform: |
Size: 486400 |
Author:刘长乐 |
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Description: 非常详细的介绍了计算机视觉基础知识-摄像机模型，内参数，外参数和射影几何的知识，简单易懂-Very detailed introduction of the basic knowledge of computer vision- the camera model, with parameters, outside the parameters and the projective geometry of knowledge, easy-to-read Platform: |
Size: 212992 |
Author:besrt |
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Description: 关于geometry shared中的layered渲染功能的使用的示例程序-example of how to used layered function of geometry shader Platform: |
Size: 858112 |
Author:xoylos |
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Description: 主要是关于射影几何和仿射空间的描述，对于三维重构比较有用-Mainly on the description of projective geometry and the affine space, more useful for the three-dimensional reconstruction Platform: |
Size: 11378688 |
Author:qian |
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Description: 射影几何的经典书籍，是学习摄像机标定和自标定必须掌握的理论基础-Projective geometry of the classic book, is to learn camera calibration and self-calibration must master the theoretical basis Platform: |
Size: 10153984 |
Author:李丽 |
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Description: 吴福朝的“计算机视觉中的数学方法”。此书由射影几何、矩阵与张量、模型估计三个部分组成，它们是三维计算机视觉所涉及到
的基本数学理论与方法。-WU Fu-Chao' s " Mathematical Methods in Computer Vision." This book by the projective geometry, matrix and tensor, the model estimates of three components, which are involved in three-dimensional computer vision the basic mathematical theory and methods. Platform: |
Size: 4111360 |
Author:SkySeraph |
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Description: 基于先验信息和射影几何变换的车牌图像矫正
对于图像矫正还是有帮助的-License plate image correction based on a priori information and projective geometry transform for image correction or help Platform: |
Size: 81920 |
Author:陈云 |
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Description: 包括视觉的介绍，边缘检测，射影几何与几何原色表达，摄像机定标，立体视觉，运动与不确定性表达，基于光流场的运动分析，长许立运动图像特征跟踪，基于二维特征对应的运动分析-Primary color expression, including the introduction of visual, edge detection, projective geometry and geometric camera calibration, stereo vision, movement and expression of uncertainty, based on the movement of the optical flow field analysis, long Xu movement image feature tracking based on two-dimensional characteristics of the corresponding motion analysis, etc. Platform: |
Size: 6855680 |
Author:王宇 |
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Description: 计算机视觉方面非常好的一本专业书籍，英文版PDF。详细介绍了计算机视觉领域运用的射影几何射影变换理论知识，介绍了相机标定的理论和方法，还有三维重建，立体视觉等方面的基础知识，一本不可多得教材！其中书中的代码实现都可以在网上下载，推荐！-Computer vision is a very good professional books, in English PDF. Details of the use of projective geometry projective transformation of theoretical knowledge in the field of computer vision, introduces the basic knowledge of the camera calibration theory and methods, as well as three-dimensional reconstruction, three-dimensional vision, a rare textbook! The implementation of the code in the book can be downloaded from the internet, recommended! Platform: |
Size: 10500096 |
Author:郭春磊 |
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Description: 吴福朝 编著的
《计算机视觉中的数学方法》本书由射影几何、矩阵与张量、模型估计三个部分组成，它们是三维计算机视觉所涉及到
的基本数学理论与方法-WU Fu-Chao compiled the " Mathematical Methods in Computer Vision," the book by the projective geometry, matrix and tensor model estimation is composed of three parts, which are involved in a three-dimensional computer vision, basic mathematical theory and methods Platform: |
Size: 4111360 |
Author:吴逸 |
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Description: Finding the Nearest Orthonormal Matrix
In some appoaches to photogrammetric problems (perhaps inspired by projective
geometry), an estimate M of an orthonormal matrix R representing rotation is
recovered. It is then desired to find the “nearest’’ orthonormal matrix. While
this two step approach — first finding a “best fit’’ matrix without enforcing orthonormality,and then finding the nearest orthonormal matrix — is not to be
recommended, it may be of interest to find a solution to this problem nevertheless. Platform: |
Size: 30720 |
Author:Archanadevi |
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Search - projective geometry