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标定和立体匹配中极线约束 方法
- 利用opencv进行三维重建的简便方法通过六个步骤,特别是摄像机标定和立体匹配中极线约束 方法 的使用，给出了基于OpenCV的三维重建算法,Three-dimensional reconstruction using opencv easy way through the six steps, especially the camera calibration and stereo matching epipolar constraint method in use, given the th
Rectification_epipolar
- hartley弱相机标定的立体像对极线校正。输入是立体像对对应的匹配点，输出是已经校正好的图像 这里对图像的角度有要求，如果拍摄角度太大 可能校正不了 而且匹配点对的精确性也有要求，建议最好经过错误点剔除之后的匹配点作为输入-epipolar rectification
source codd of zheng you stereo matcher
- 张正友基于极线约束的点匹配方法源码，包含角点检测，零交叉匹配等重量级算法，初学者必备-Zhang Zheng-you-point based on the epipolar constraint matching method source code, including corner detection, zero-crossing matching heavyweight algorithm, essential for beginners
EpipolarRayPro
- 摄影测量核线影像生成，在匹配过程中以及三维立体显示的过程中有重要作用-Photogrammetric Epipolar Image Generation, which has an important role in the process of matching process and the three-dimensional display
Depthmeasurementoftheobjectbasedonthecorresponding
- 提出了一种基于对应点匹配的物体深度信息测量方法。首先给出了物理图像坐标系与像素坐标系之间的关系；其次，借助于相关法计算两幅图像中目标的相似度，以实现同一目标在不同成像中的匹配；然后从目标几何形状的角点出发，结合对应点的外极线约束条件，提出一种有效的对应点匹配算法，并利用对应点的视差计算基于光轴平行的双摄像机成像的目标深度信息。计算机仿真结果验证了算法的有效性。-A method for measuring the depth of an object was proposed based on
ResearchonILaeMatchinandTaretTrackinThrouhSinularV
- 在目标跟踪过程中，由于存在目标姿态变化和背景干扰，在跟踪过程中必须要对模板进行必要的修正，应该在获取目标本文探讨了奇异值分解及其在图像匹配和目标跟踪中的应用，定义了一种近似奇异值向量模板后有一个可靠的模板更新策略.并提出了一种基于图像奇异值特征向量数据特点的跟踪策略并作了大量试验，试验结果表明所提出的图像匹配方法和目标跟踪策略的有效性.-A method for measuring the depth of an object was proposed based on the correspo
Researchonimagematchingmethodinbinocularstereovisi
- 对目前匹配能力很强的基于 特征的图像匹配方法进行研究, 并在该方法中加入极线约束, 有效去除了大部分虚假匹配。提出以特征匹配与区域匹配相结合、边缘特征与角点特征相结合的立体匹配方法。实验证明该方法不仅能够有效地缩短匹配时间, 还能达到较高的匹配精度-The image matching technique based on Scale Invariant Feature Transform is studied and the fake matching points are eliminate
stero
- 立体匹配，包括计算基本矩阵，极线校正，和SSD计算匹配点-Matching, including the calculation of fundamental matrix, epipolar correction, and SSD calculation of matching points
Application-of-Feature-Matching
- 基于外极线约束法则的外极斜率匹配思想, 针对图像中有限的角点特征, 提出了一种快速直线匹配 方法-Epipolar constraint based on rules of thinking outside the very slope of the match, for a limited corner of the image characteristics, we propose a fast straight line matching method
test2
- 采用一种基于极线约束与区域匹配相结合的立体匹配算法对两幅图像中对应点进行匹配。-Using the epipolar constraint and based on a combination of area-based matching algorithm for stereo matching corresponding points in two images to match.
ImageMatch
- 核线影像匹配程序，采用相关系数法。MFC-Epipolar image matching process, using the correlation coefficient method.
ImageMatching(v1.24)
- 进行图像的核线匹配，不同于其他匹配方法，其特点是匹配效率高，并且匹配的可靠性好-Epipolar image matching, unlike the other matches, which is characterized by high matching efficiency, good reliability and matching
3Dimage_rectification
- 用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs o
Image-rectification_surf
- 用于双目立体图像匹配：用surf提取特征点、Flann匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，用opencv实现-For binocular stereo image matching feature extraction point: surf, Flann matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the ster
CV4
- 立体视觉相关的程序，这部分需要先了解图像和摄像机之间的对立关系，并对极线几何比较了解，先把原理熟悉了以后，具体到编程上就会轻松一点，整体还是比较耗时的。具体来说，程序使用SSD得到匹配点，然后根据匹配点计算出基本矩阵，最后计算出匹配点相关的极线-Stereo vision procedure, this part of the need to understand the antagonistic relationship between the image and the camera, an
draw_Eline
- 计算机视觉中，绘制外极线源码，为三维重建、线匹配基础-Computer vision, drawing epipolar source, a three-dimensional reconstruction, the line matching basis
shuixiajixianyueshu
- 用于水下图像做特征点匹配时，剔除错误的匹配对，类似于空气中常用的极线约束-For underwater images do match feature points, excluding the wrong matching, similar to commonly used air epipolar constraint