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[Other resourcematlab编的特征匹配(控制点)

Description: matlab编的特征匹配,用控制点可以进行匹配。简单的小程序,可直接运行。-Matlab series of the feature matching, control points can be used for matching. Simple small program can be directly run.
Platform: | Size: 925 | Author: 雷雷 | Hits:

[2D Graphicmatlab编的特征匹配(控制点)

Description: matlab编的特征匹配,用控制点可以进行匹配。简单的小程序,可直接运行。-Matlab series of the feature matching, control points can be used for matching. Simple small program can be directly run.
Platform: | Size: 1024 | Author: 雷雷 | Hits:

[Special EffectstemplateMatcher

Description: 图像匹配,在一副图象中搜寻子图像,寻找特征点-Image matching, in a sub-image search images to find the feature points
Platform: | Size: 1024 | Author: wu wei | Hits:

[Compress-Decompress algrithmsImageMatch

Description: 这是一个基于matlab的图像匹配算法,通过先后两帧中相同的部位,在前一帧中搜索协方差最大的匹配点。-This is a matlab-based image matching algorithm has the same two parts, a former search the largest covariance matching points.
Platform: | Size: 245760 | Author: 杨襄 | Hits:

[2D GraphicSIFT

Description: 自己用matlab写的sift特征点检测与匹配程序,运行能通过-Matlab write themselves sift feature points detection and matching program, run through
Platform: | Size: 25600 | Author: dubingxin | Hits:

[2D GraphicSIFT-matlab

Description: 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot area of research and the difficulties in matching their ability to deal with translation between two images, rotation, affine transformation to match the case of problems, and even to some extent in any angle images will also be able to match the characteristics of a more stable capacity
Platform: | Size: 617472 | Author: | Hits:

[Special EffectsSIFT

Description: SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 -SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching
Platform: | Size: 11264 | Author: qwe | Hits:

[Windows Develop67506282mahalanobis

Description: 马氏距离的仿射不变性删除误匹配特征点 对,据此可求取2幅源图像间的仿射变换参数-Mahalanobis distance of the affine invariant features remove the false matching points Yes, according to the source to obtain two parameter affine transformation between images
Platform: | Size: 1024 | Author: yimeng | Hits:

[matlabhomework

Description: 双目视觉三维重建程序,输入左右相机匹配点对矩阵,自动计算投影矩阵,并输出射影空间下的三维点坐标-Binocular vision three-dimensional reconstruction program, enter the matching points on the matrix around the camera to automatically calculate the projection matrix, and output under the three-dimensional projective space point coordinates
Platform: | Size: 155648 | Author: zhanglu | Hits:

[Special EffectsNCC-and-the-SSDA-based-feature-points-matching-the

Description: 基于NCC与SSDA的快速特征点匹配融合算法(图像匹配)-NCC and the SSDA-based feature points matching the rapid integration algorithm (matching)
Platform: | Size: 187392 | Author: 马蓉琼 | Hits:

[Special Effectsstero

Description: 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
Platform: | Size: 1272832 | Author: gsd | Hits:

[Special EffectsImage-mosaic

Description: 图像拼接,利用互相关函数自动寻找匹配点。-Image mosaic, using cross-correlation function automatically find matching points.
Platform: | Size: 4666368 | Author: Frank | Hits:

[matlabmatlab

Description: (1) 读取n副连续有重叠部分的图像,在n副图像中检测SIFT特征,并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点,并根据特征点向量消除误匹配。 (3) 使用RANSAC方法,确定变换参数。 (4) 图像融合 -(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion
Platform: | Size: 4096 | Author: 石梦鑫 | Hits:

[Special EffectsMatching

Description: 数字摄影测量中的最小二乘匹配算法,带示例图像(Feature points matching using LSTM)
Platform: | Size: 1146880 | Author: chiusy | Hits:

[OtherSIFT特征匹配(matlab版)

Description: 非常好用,可以提取两幅图像的同名点,匹配,配准,一整个流程,都可以实现,代码注释易懂,简单易学(Very useful, can extract two images of the same name points, matching, registration, a whole process, can be achieved, code annotations easy to understand, easy to learn)
Platform: | Size: 51200 | Author: doushiweiledaima | Hits:

[Other基于SIFT特征的图像配准(Matlab源代码)

Description: 基于SIFT的图像匹配配准,代码亲测好用,注释简单易懂,可以提取同名点,进行匹配配准。(Based on SIFT image matching registration, the code is easy to use, the annotation is simple and easy to understand, and the same name points can be extracted for matching registration.)
Platform: | Size: 24677376 | Author: doushiweiledaima | Hits:

[Special EffectsMATLAB指纹识别

Description: 本文主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。 该课题为基于MATLAB的指纹识别系统,带有丰富的人机交互GUI界面。目前毕业设计选题中,传统指纹识别不易得到高分,基本都是对指纹进行处理,而没有比对两者指纹是不是同一个人,轻易被导师被否决。因此建议做成两个指纹进行比对,输出结果,以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.)
Platform: | Size: 2781184 | Author: 王春水 | Hits:

[Special EffectsMATLAB指纹识别(GUI,比对两幅指纹,完美运行)

Description: 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
Platform: | Size: 3789824 | Author: www.wobishe.com | Hits:

[Special EffectsMATLAB指纹门禁系统GUI界面

Description: 本设计为基于MATLAB的指纹识别系统。带GUI可视化平台。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is based on Matlab fingerprint identification system. With GUI visualization platform. This design system mainly processes fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image graying, filtering enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images If it comes from the same finger.)
Platform: | Size: 3466240 | Author: MATLAB道长 | Hits:

[matlabMATLAB指纹识别[GUI界面,报警,门禁系统]

Description: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)
Platform: | Size: 3682304 | Author: 可乐一生 | Hits:
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