搜索资源列表
ransac.rar
- ransac，随机抽样一致性算法，应用在图像处理特征点匹配中。,ransac, random sample of the consistency algorithm used in image processing feature point matching.
An.Image.Mosaic.Algorithm.Based.on.Matching.Shape.
- 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对 其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的 结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
I_14
- 本文对指纹特征点的提取，特征点的匹配，用matlab进行了实现-In this paper, the fingerprint feature points extraction, feature point matching, was realized with matlab
7941943TPS-RPM
- 使用薄板样条函数，完成点对的非刚体配准方法。此类提供算法的封装。-Use of Thin plate spline, the completion point of the non-rigid registration method. Such packages provide the algorithm.-
RANSAC-match
- 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
FastAlgorithmofImageMatching
- Wavelet t ransform and projection were referred to after wavelet t ransform projection and se2 quential similarity detection algorithm(SSDA) were applied to the low f requency part of the image to get a set of potential matching point-Wavelet t
newmatch
- 对两幅图像进行角点检测，并对检测到的角点进行特征匹配，效果非常好，误匹配率非常低，耗时仅9毫秒-Two images of the corner detection, and detects the angular point feature matching, the effect is very good, very low false match rate, time-consuming only 9 ms
An_automatic_image_stitching_algorithm_based_on_fe
- 本文提出一种图像特征点匹配算法,并在该算法的基础上形成构建全景图的图像拼接算法. 此算法采用 Harris角检测算子进行特征点提取,并为其分配特征描述符.-This paper presents an image feature point matching algorithm and the algorithm is based on building a panoramic image mosaic algorithm graph. This angle detection algori
stableAvi
- 利用代表点匹配算法进行电子稳像，去抖动效果明显-Representative point matching algorithm using the electronic image stabilization to shake evident result
sift-0[1].9.18.tar
- 用sift算法进行图像的匹配。可以两幅不同的图像中进行点对点的匹配。很好的图像匹配的算法。用matlab编程-Using sift algorithm for image matching. Two different images can be carried out point to point matching. A very good image matching algorithms. Programming using matlab
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
BaseAutopanoramareserch
- 别对两幅图像提取广义特征点后， 利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像 的几何畸变。最后建立两幅图像之间的函数映射关系，完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two cont
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
Feature-matching-algorithm
- 特征匹配的算法，可以一看，挺值得。本文提出一种图像特征点匹配算法 ,并在该算法的基础上形成构建全景图的图像拼接算法. -Feature matching algorithm can be quite worthy of a look at this paper, an image feature point matching algorithm and the algorithm based on the formation of building panorama image mosaic a
point-matching
- 基于opencv的密集点匹配程序，运用C++语言实现-Sparse point matching and reconstruction (no image correction)
Sparse-point-matching
- 基于opencv的稀疏点匹配与重建（无图像校正）-Sparse point matching and reconstruction (no image correction)
matching
- 有关图像处理中图片匹配的vc++程序，采用特征点匹配-A VC++ program about the image processing in the image matching procedure, uses feature point matching
point-matching
- 本算法用于实现角点匹配，速度较快，匹配的准确度也较高。-The algorithm for realizing the corner matching, faster, and higher degree of matching accuracy.
OpenCV-SURF-feature-point-matching
- Opencv SURF特征点匹配，包含可以正常运行的完整代码。-Opencv SURF feature point matching, contains the complete code can run normally.
Feature-point-matching
- 基于matlab指纹识别关于特征点匹配的代码-Based on matlab fingerprint recognition on the feature point matching code