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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.
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Author: whj4123 |
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Description: 提出了一种基于特征点的全自动无缝图像拼接方法。该方法采用对于尺度具有鲁棒性的SIFT算法进行特征点的提取与匹配,并通过引导互匹配及投票过滤的方法提高特征点的匹配精确度,使用稳健的RANSAC算法求出图像间变换矩阵H的初值并使用LM非线性迭代算法精炼H,最终使用加权平滑算法完成了图像的无缝拼接。-Based on feature points of automatic seamless image mosaic method. The method used for the scale robust algorithm SIFT feature point extraction and matching, and guide each other through the match and voting methods of filtering feature point improve matching accuracy, the use of robust RANSAC algorithm between images obtained transformation matrix H the initial value and use the LM non-linear iterative algorithm refining H, end-use-weighted smoothing algorithm to complete the image of the seamless splicing.
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Author: 小兔兔牙 |
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Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates
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Size: 117760 |
Author: 王钰 |
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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.
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Size: 743424 |
Author: jiaojiao |
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Description: 这个程序可以使用ransac算法自动剔除匹配错误的对应点-this program can disgard point using ransac method
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Size: 2048 |
Author: 岳庆兴 |
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Description: 这个程序生成一个窗口 是界面编程的基础部分-this program can disgard point using ransac method
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Size: 1024 |
Author: 岳庆兴 |
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Description: J-linkage 算法,可以用于多体拟合的一种策略,优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each point is represented with the characteristic function of the set of random models that fit the point. A tailored agglomerative clustering, called L-linkage, is used to group points belonging to the same model. The method does not require prior speci?cation of the number of models, nor it necessitate parameters tuning. Experimental results demonstrate thesuperior performances of the algorithm.
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Size: 275456 |
Author: tomas |
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Description: RANSAC (RANdom SAmple Consensus) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. Source code is in Document
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Size: 614400 |
Author: picab |
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Description: :本文把星表匹配问题转化成计算机视觉中的对应点匹配问题,接着使用二维Delaunay三角化方法对星表进行三角化,然后用RANSAC方法对星表的自动匹配问题进行了研究。研究结果表明,我们的方法能够快速有效地完成星表匹配。在总共960个样本中,除了两幅不符合匹配的星表之外,全部获得了正确的匹配结果。-: In this paper, the Star into a matching problem in computer vision matching the corresponding points, followed by the use of two-dimensional Delaunay triangulation method to the triangular form of stars, and then use RANSAC method of automatically catalog matching problem is studied. The results show that our method can be completed quickly and efficiently matching catalog. In a total of 960 samples, in addition to the two stars are not in line with the matching table, all access to the correct matching results.
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Size: 18432 |
Author: lilin |
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Description: 针对平行结构立体摄像机存在较大的遮挡边界区域问题,本文提出了一种基于可信图的遮挡
边界检测算法.首先通过采样计算立体图像对中几条扫描线的可信值,从而得到遮挡边界的若干采
样点;然后通过RANSAC算法得到遮挡边界.理论和实验分析表明该算法对复杂背景的立体图像有好
的检测精度;对人肩像等简单背景图像的检测精度不好,但通过校正后仍可得到较准确的遮挡边界.-Aimed at the existence of large occluded regions in stereo image pairs obtained from
stereo camera pairs,an algorithm which can detect occluded boundary areas based on reliability map
is proposed.Firstly,a number of sampled occluded boundary points are obtained by calculating
reliability of the disparity on the corresponding sampled scan lines;secondly,the boundary line is
calculated by RANSAC method.Theoretical and experimental analyses show that the proposed
algorithm gives good boundary detection accuracies for stereo images with complex backgrounds.
But for stereo images with homogenous background,results are not good,however the algorithm can
also give relatively good accuracies after certain correction.
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Author: christine |
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Description: 1)最大似然方法联合实现符号定时同步和载波同步仿真
2)泊松分布
3)贝叶斯估计
4)RANSAC方法-1) The maximum likelihood method of the joint realization of Symbol Timing and Carrier Synchronization in simulation 2) Poisson distribution 3) Bayesian estimation 4) RANSAC method
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Author: 平凡 |
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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.
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Author: xiaofang |
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Description: 本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners.
keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system.
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Description: 实现利用RANSAC方法对输入图像的线特征检测的功能。-RANSAC method to achieve the input image using the line feature detection function.
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Size: 9216 |
Author: 陈全齐 |
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Description: RANSAC为Random Sample Consensus的缩写,它是根据一组包含异常数据的样本数据集,计算出数据的数学模型参数,并得到有效样本数据的算法。-RANSAC stands for the Random Sample Consensus, which is based on a set of sample data that contains abnormal data set, a mathematical model to calculate the parameters of the data, and effective method of sample data.
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Size: 1131520 |
Author: 徐琼 |
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Description: 随机抽样一致性算法
它是从一个观察数据集合中,估计模型参数(模型拟合)的迭代方法。-Random consistency algorithm is an observation from the data set, the estimated model parameters (model fitting) the iterative method.
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Size: 953344 |
Author: cherry |
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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
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Size: 108544 |
Author: 王奇 |
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Description: ransac方法实现,可以用于去除匹配错误点-Ransac method can be used to remove the matching error points
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Size: 226304 |
Author: 曾杨 |
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Description: RANSAC算法的matlab语言实现实现,它是一种从包含“局外点”的观测数据中鲁棒估计出模型参数的方法,此算法在计算机视觉领域中得到广泛应用。(Matlab implementation of RANSAC algorithm, It is a method of robust estimation of model parameters from observation data including outliers. This algorithm is widely used in computer vision field.)
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Size: 69632 |
Author: 徐喜梅
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Description: RANSAC算法的输入是一组观测数据,一个可以解释或者适应于观测数据的参数化模型,一些可信的参数。
RANSAC通过反复选择数据中的一组随机子集来达成目标。被选取的子集被假设为局内点,并用下述方法进行验证:
1.有一个模型适应于假设的局内点,即所有的未知参数都能从假设的局内点计算得出。
2.用1中得到的模型去测试所有的其它数据,如果某个点适用于估计的模型,认为它也是局内点。
3.如果有足够多的点被归类为假设的局内点,那么估计的模型就足够合理。
4.然后,用所有假设的局内点去重新估计模型,因为它仅仅被初始的假设局内点估计过。
5.最后,通过估计局内点与模型的错误率来评估模型。
这个过程被重复执行固定的次数,每次产生的模型要么因为局内点太少而被舍弃,要么因为比现有的模型更好而被选用。(The input of the RANSAC algorithm is a set of observational data, a parameterized model that can be interpreted or adapted to the observation data, and some trusted parameters.
RANSAC achieves the goal by repeatedly selecting a set of random subsets in the data. The selected subset is assumed to be a local point and is verified by the following method:)
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Author: 倒一倒
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