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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.
Update : 2008-10-13 Size : 209.71kb Publisher : 蒋翔俊

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
Update : 2009-09-24 Size : 90.3mb Publisher : panxizhang

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.
Update : 2025-02-17 Size : 209kb Publisher : 蒋翔俊

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.
Update : 2025-02-17 Size : 475kb Publisher : 刘长乐

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
Update : 2025-02-17 Size : 208kb Publisher : besrt

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
Update : 2025-02-17 Size : 838kb Publisher : xoylos

Projective Geometry Cyclic code, n=21, k=10 Majority Logic Decoding BPSK BER simulation
Update : 2025-02-17 Size : 5kb Publisher : grn552

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
Update : 2025-02-17 Size : 10.85mb Publisher : qian

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
Update : 2025-02-17 Size : 9.68mb Publisher : 李丽

DL : 0
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.
Update : 2025-02-17 Size : 3.92mb Publisher : SkySeraph

用于图像处理的matlab工具包,由Peter Kovesi制作,主要包含特征提取,各项异性滤波,灰度转换、图像去噪等,对图像处理的人来说非常有用。 -MATLAB and Octave Functions for Computer Vision and Image Processing, including: Feature Detection via Phase Congruency Spatial Feature Detection Integral Images Non-Maxima Suppression and Hysteresis Thresholding Edge Linking and Line Segment Fitting Test Grating for Edge Detection Image Denoising Surface Normals to Surfaces Scalogram Calculation Anisotropic diffusion Grey Scale Transformation and Enhancement Frequency Domain Transformations Functions Supporting Projective Geometry Feature Matching Model Fitting and Robust Estimation Fingerprint Enhancement Interesting Synthetic Images ASCII Image Generation Rotation Transforms Image Display, Image Writing and Miscellaneous
Update : 2025-02-17 Size : 6.12mb Publisher : zhaoxk

几何代数(clifford algebra)统一了欧氏几何,仿射几何、投影几何、球形几何,双曲几何和共形几何。-Geometric algebra (clifford algebra) unified Euclidean geometry, affine geometry, projective geometry, spherical geometry, hyperbolic geometry and conformal geometry.
Update : 2025-02-17 Size : 328kb Publisher : zoeyzong

Book Projective Geometry for 3D computer vision
Update : 2025-02-17 Size : 506kb Publisher : hung

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
Update : 2025-02-17 Size : 80kb Publisher : 陈云

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.
Update : 2025-02-17 Size : 6.54mb Publisher : 王宇

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!
Update : 2025-02-17 Size : 10.01mb Publisher : 郭春磊

关于计算机视觉和图像的matlab工具箱。包括相位一致性特征,空间特征检测,积分图像,非极大值抑制和滞后阈值,边链接和线段拟合,去噪,等-MATLAB and Octave Functions for Computer Vision and Image Processing。such as • Feature Detection via Phase Congruency • Spatial Feature Detection • Integral Images • Non-Maxima Suppression and Hysteresis Thresholding • Edge Linking and Line Segment Fitting • Test Grating for Edge Detection • Image Denoising • Surface Normals to Surfaces • Scalogram Calculation • Anisotropic diffusion • Grey Scale Transformation and Enhancement • Frequency Domain Transformations • Functions Supporting Projective Geometry • Feature Matching • Model Fitting and Robust Estimation • Fingerprint Enhancement • Interesting Synthetic Images • ASCII Image Generation • Rotation Transforms • Image Blending • Colourmaps and colour conversions • Image Display, Image Writing and Miscellaneous
Update : 2025-02-17 Size : 6.11mb Publisher : 任立超

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
Update : 2025-02-17 Size : 3.92mb Publisher : 吴逸

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.
Update : 2025-02-17 Size : 30kb Publisher : Archanadevi

DL : 0
Projective geometry (2D, 3D), Parameter estimation, Algorithm evaluation.
Update : 2025-02-17 Size : 4.2mb Publisher : Rayan1
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