Description: ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。本源代码用仿摄模型模拟两影像的几何变形，用ransac算法来剔除错误匹配点，得到最终的仿摄参数。-ransac is commonly used in computer vision of a stable, two images can be used for the registration. Imitating source code model perturbation two images of the geometric deformation, ransac algorithm used to remove erroneous match point, imitation is the ultimate parameter perturbations. Platform: |
Size: 1839 |
Author:陈艳 |
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Description: ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。本源代码用仿摄模型模拟两影像的几何变形，用ransac算法来剔除错误匹配点，得到最终的仿摄参数。-ransac is commonly used in computer vision of a stable, two images can be used for the registration. Imitating source code model perturbation two images of the geometric deformation, ransac algorithm used to remove erroneous match point, imitation is the ultimate parameter perturbations. Platform: |
Size: 2048 |
Author:陈艳 |
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Description: 一个有效的图像配准程序，采用仿射变换和其他多项式变换，可以手动或自动对两幅图像进行配准。-an effective image registration procedures, affine transformation and other polynomial transform, can be manual or automatic right two images registration. Platform: |
Size: 3956736 |
Author:chenxin |
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Description: ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。-RANSAC is a commonly used method of robust computer vision, two images can be used for registration. Platform: |
Size: 53248 |
Author:whj4123 |
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Description: ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准.-RANSAC is a commonly used method of robust computer vision, two images can be used for registration. Platform: |
Size: 743424 |
Author:jiaojiao |
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Description: 随机抽样一致算法RANSAC，在图像配准中可以用于去除不精确的匹配点。-Random sample consensus algorithm RANSAC, in the image registration can be used to remove inaccurate matching point. Platform: |
Size: 723968 |
Author:晴天 |
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Description: 主要阐述了一种适用于户外AR系统(augmented reality system)的注册方法；利用标记物计算初
始结构参数，并确定初始的共面自然特征点集；在后续的运行过程中, 通过相关系数法在相邻的两帧画面
中寻找候选匹配自然特征点对；采用了基于标记物提供的共面约束和 RANSAC（RANdom Sample
Consensus）算法相结合的方法，从这些候选匹配点中选出满足共面条件的匹配点对；计算这些共面点所对
应的单应矩阵(Homography)，进而求解相机的运动参数，完成虚拟物体的注册。该方法特别适合没有显式
平面结构的室外环境。 -In this paper, a kind of registration method applicable to outdoor AR system (augmented reality system)
is elaborated. The plane marker is employed in calculating initial structure parameter natural features are
tracked from the two adjacent frame through correlation and taken as candidate matches. A method Based on the
constraint of marker and RANSAC (Random Sample Consensus) is adopted, so that good matches, which satisfy
coplanar condition, are selected out of the candidate matches. Through the homographic matrix provided from
the coplanar points, we could work out motion parameter of the camera, and finally finish registration of virtual
objects. The registration method is most appropriate for outdoor surroundings with obscure plane structure. Platform: |
Size: 826368 |
Author:xiaofang |
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Description: 可以在harris角点检测和ncc粗匹配之后实现精确准确的角点匹配，为下一步配准做准备-Can the Harris corner detection and NCC coarse matching after achieve precise accurate angular point matching, preparing for the next registration
Platform: |
Size: 2048 |
Author:lee |
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Description: RANSAC算法及其消除错配应用,适用于图像方面的RANSAC配准，并带有示例以帮助理解-RANSAC algorithm and its application to eliminate the mismatch, the image area of the RANSAC for registration, and with examples to help understand Platform: |
Size: 723968 |
Author:yangjunjie |
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Description: 先用SUSAN算法对两幅图像进行角点检测，然后用NCC算法进行粗匹配，最后用RANSAC算法进行精确匹配-SUSAN algorithm first with two images on corner detection and coarse matching algorithm with NCC, and finally with RANSAC algorithm for exact match Platform: |
Size: 34816 |
Author:李少芳 |
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Description: 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results Platform: |
Size: 108544 |
Author:王奇 |
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Description: sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC) Platform: |
Size: 3195904 |
Author:lihaihaoge |
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Description: 基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration) Platform: |
Size: 440320 |
Author:萧涵 |
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