搜索资源列表
123
- 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图 像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造 相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图 像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of inform
course
- If we want to find a specified pattern in an image, we can move this pattern as a template over the image, and find where the lokal image correlates with the template. This is called template matching.-If we want to find a specified pattern in an ima
sift1
- 针对现有的图像复制遮盖篡改检测算法需要某些先验信息、对后处理操作失效且计算量大等问题, 借鉴图像匹配技术中的SIFT(scale invariant feature transform)特征匹配算法,首次提出将其用于检测复制 遮盖的篡改操作。 -Cover the existing image copy for tamper detection algorithm needs some prior information on the calculation of post-proc
sift2
- 提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参 考影像中的线特征,利用匹配直线构建虚拟角点 其次,针对传统SIFT算法匹配多源遥感影像特征点存在的 不足,采用线特征约束点特征的方法进行SIFT同名点对的提取 最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。 -A line-based features and SIFT features multi-point sources of remote sensing image
sift4
- :提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构 建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配 -: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, featur
ApplicationofimprovedrepresentatiVepointmatchalgor
- 提出一种用于电子稳像技术改进的代表点匹配算法。通过合理的划分区域，保证在 域内各点运动的一致性，利用代表点匹配算法确定各区域内的运动矢量，并把其代入变换模型可得关于旋转、平移和变焦等信息的线性方程组，求其方程的解得全局运动矢量-Proposed for improved electronic image stabilization representative point matching algorithm. Through reasonable zoning, ensure the cons
Ch2
- The use of fingerprints for identification has been employed in law enforcement for about a century. A much broader application of fingerprints is for personal authentication, for instance to access a computer, a network, a bank-machine, a ca
image-matching
- 收集到的关于 图像匹配 的四篇论文，希望对大家有帮助-collect some papers about image matching ,hope it is useful for you
ImageMosaic
- 一些关于图像拼接的论文，包括特征提取、特征匹配和RANSAC特征点提出等-The articles of image mosaic, including feature extraction, feature matching and RANSAC the feature points purification algorithm
fuzabeijinggenzong
- 介绍了一种常用的Kim目标分割方法,并 针对其不足,对Kim方法进行了改进,将连续两帧的差分图像和背景差分图像直接相乘得到灰度图 像,然后对该灰度图像进行阈值分割来获取目标区域模板,再基于灰度加权图像模板匹配法实现目标 跟踪 -A common Kim target segmentation, and for its shortcomings, Kim method improvements, the two consecutive frames of the different
finger-vein-image-process-papers
- 重庆工学院的余成波写的关于手指静脉图像处理和匹配识别的文章，年限从2009年至今，在手指静脉识别领域具有一定的参考价值-Chongqing Institute of YU Cheng-bo wrote on finger vein image processing and matching recognition of the article, period from 2009 to date, finger vein recognition field has a certain refere
FisherFacesCheck
- In this paper, we extend Fisherface for face recognition from one example image per son. Fisherface is one of the most successful face recognition methods. However, Fisherface requires several training images for each face, so it cannot be ap
dig_photo_1
- Image Matching Fundamentals Method Document PDF Files
dig_photo_2
- Image Matching Fundamentals Method Document PDF Files Slide2
dig_photo_3
- Image Matching Fundamentals Method Document PDF Files
guided-image-filtering
- 使用引导滤波器实现立体匹配，光流，图像分割的功能。-Boot filter implementation using stereo matching, optical flow, image segmentation function
One-time-templates-2007iccit_lee
- template matching in image processing
Scale-Rotation-Invariant-Features
- 一种新的尺度旋转不变特征，可以用于人脸识别或者图像匹配等领域-A new kind of scale and rotation invariant features, can be used for face recognition or image matching field
multiple-camera_system_calibration_toolbox
- for 3D image matching and analysis
20160223103054341
- 机器视觉常见方法——Halcon描述,图像获取 (前提）,模板匹配（定位，比较）,Blob分析（基础之一）,测量(结果),其它应用 . -Machine vision common methods- Halcon descr iption, image acquisition (prerequisite), template matching (positioning, comparison), Blob analysis (based on one), measurement (resul