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[Special Effects] pj DL : 0: 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.
Date : 2025-12-22 Size : 148kb User : 小兔兔牙
[Special Effects] tuxiangpinjiefa DL : 0: 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
Date : 2025-12-22 Size : 115kb User : 王钰
[Special Effects] RANSAC_27-Nov-2008 DL : 0: 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.
Date : 2025-12-22 Size : 726kb User : jiaojiao
[Special Effects] StudyonStereoVision-basedCross-countryObstacleDete DL : 0: 本文提出了一种新的跨国家的障碍检测技术为基础的立体视觉系统。原始图像的预处理的高斯过滤器和对比度限制的自适应直方图均衡（ CLAHE ）方法来削弱作用噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment results for different conditions are presented in support of the obstacle detection technology.
Date : 2025-12-22 Size : 949kb User : 晓翠
[Special Effects] SIFT_VC.lib DL : 0: 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.
Date : 2025-12-22 Size : 109kb User :
[Special Effects] 5 DL : 0: 本文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。整个处理过程完全自动地实现了对一组图像的无缝拼接，克服了传统图像拼接方法在尺度和光照变化条件下的局限性。实验结果验证了方法的有效性。-This paper presents a feature points based on automatic seamless image mosaic method. The method used for the scale of the SIFT algorithm is robust feature points extraction and matching, and guide each other through the match and voting filtering feature point matching method to improve the accuracy of the RANSAC algorithm for the robust transformation matrix H between the images obtained The initial and refined using the LM non-linear iterative algorithm H, the final completion of the weighted smoothing algorithm for seamless image. Completely automated the entire process of a group to achieve seamless image stitching, image stitching method to overcome the traditional scale and illumination changes in the conditions of the limitations. Experimental results demonstrate the effectiveness of the method.
Date : 2025-12-22 Size : 147kb User : wenping
[Special Effects] Image-Matching DL : 0: 有关图像匹配的算法文献，采用基于shift和RANSAC方法的图像匹配方法实现的地形测量。-The image matching algorithm based on shift and RANSAC literature, using the method of image matching method for topographic measurements.
Date : 2025-12-22 Size : 551kb User :
[Special Effects] RANSAC DL : 0: 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.
Date : 2025-12-22 Size : 931kb User : cherry
[Special Effects] RANSAC-matching DL : 0: 一种基于RANSAC基本矩阵估计的图像匹配方法-an image matching method using RANSAC for estimation on foundamental matrix
Date : 2025-12-22 Size : 655kb User : zhang
[Special Effects] Algorithm-for-Sequence-Image-Automatic-Mosaic-bas DL : 0: Abstract—Constraining by cameras’ view-angles of the outdoor monitoring systems, the panoramic digital images fail to be obtained directly from photographing. A method is proposed on the basis of the scale invariance feature transform (i.e. SIFT) algorithm to stitch images captured by the turning video cameras together to form panoramic images. Based on the SIFT features and the retrofitted KD- Tree structure, the BBF searching strategy is employed to match feature points. Then in a post-processing pass, the Ransac algorithm is adopted to remove the mismatching feature points. Photos captured by a surveillance camera are taken as the input to test the proposed method. According to the test, the whole processing time of stitch is reduced while the fidelity of resulting stitched panoramic images is ensured.-Abstract—Constraining by cameras’ view-angles of the outdoor monitoring systems, the panoramic digital images fail to be obtained directly from photographing. A method is proposed on the basis of the scale invariance feature transform (i.e. SIFT) algorithm to stitch images captured by the turning video cameras together to form panoramic images. Based on the SIFT features and the retrofitted KD- Tree structure, the BBF searching strategy is employed to match feature points. Then in a post-processing pass, the Ransac algorithm is adopted to remove the mismatching feature points. Photos captured by a surveillance camera are taken as the input to test the proposed method. According to the test, the whole processing time of stitch is reduced while the fidelity of resulting stitched panoramic images is ensured.
Date : 2025-12-22 Size : 337kb User : bou33aza
[Special Effects] mosaic DL : 0: 国外网站上找到的一个图像拼接程序，将三张图片拼接为一张。大致方法为Haaris找角点，粗匹配，RANSAC精匹配。有详细的注释，附带一篇代码说明文档，非常适合初学者学习研究-Foreign web sites to find a image stitching procedure, three picture mosaic as one. Roughly method for Haaris to find a corner, coarse matching, the RANSAC precise matching. Detailed notes, with a code documentation, very suitable for beginners to learn
Date : 2025-12-22 Size : 678kb User : Perry
[Special Effects] The-image-registratio-SURF DL : 0: 首先用 SURF 方法提取特征点其次用最近邻匹配法找出对应匹配点对结合 RANSAC 和最小二乘法求出图像之间的映射关系最后利用所求的变换参数插值得到配准后的图像-First with SURF extracted feature points followed by the nearest neighbor matching method to find the corresponding matching points RANSAC and least squares method combines images obtained using the mapping between the final transformation parameters are asking interpolated image after registration
Date : 2025-12-22 Size : 304kb User : 高嘉瑜
[Special Effects] image-matching-using-surf-and-ransac DL : 0: 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
Date : 2025-12-22 Size : 106kb User : 王奇
[Special Effects] ransac_homography DL : 0: 一个利用ransac算法进行直线拟合的程序；一个通用的ransac算法框架；利用后者进行homography单应矩阵估计的示例程序-a framework of RANSAC method
Date : 2025-12-22 Size : 4kb User : chen
[Special Effects] SURF-based-image-stitching DL : 0: SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 -SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
Date : 2025-12-22 Size : 1.97mb User : 马丁
[Special Effects] imMosaic DL : 0: 该代码提供了基于特征点的全自动无缝图拼接方法，代码可以较好实现。主要利用sift算法和Ransac算法-The code provides automatic seamless stitching method based on feature points, the code can be better realized. The main advantage of the algorithm and Ransac sift algorithm
Date : 2025-12-22 Size : 1004kb User : 钱宏强
[Special Effects] EKF_monoSLAM_1pRANSAC DL : 0: 一种将RANSAC和卡尔曼滤波结合起来的方法，仅适用一个点来进行判断，大大提高了速度。具体见README文件。-The method of RANSAC and Kalman filtering to combine, apply only to a point to be judged, greatly improving the speed. See in particular the README file.
Date : 2025-12-22 Size : 295kb User : yinyan
[Special Effects] HARRIS-MATLAB DL : 0: 使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。-Using the Harris corner detection method to extract the feature points of the image, the NCC description method performs rough matching, and then uses the RANSAC algorithm for fine matching
Date : 2025-12-22 Size : 108kb User : 阿朱
[Special Effects] 最小二乘法估计仿射矩阵 DL : 0: 目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.)
Date : 2025-12-22 Size : 1kb User : AVATAR123