搜索资源列表
sift-1.1.1_20070330_win
- 图像的配准，特征点的匹配，直接读入两幅图像即可
3piontimagemosic
- 提出了一种基于3点匹配的图像拼接算法。该算法以有效的选取准则为基础，选取种子模板，按照预定的搜索策略，匹配出对应 的特征点，利用误匹配消除准则，消除可能出现的误匹配，为后续的优化算法提供初值。-Based on the 3:00 match image mosaic algorithm. The algorithm for the effective selection criteria, based on a template to select seed, according to th
corner
- 对血管图像进行处理，得到图像的特征点，为以后进一步处理图像匹配做基础-Vascular image processing of image feature points, for the subsequent image matching as a foundation for further processing
67506282mahalanobis
- 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
sift--vcPP
- 基于sift的特征点匹配算法，实现图像特征点的匹配-Sift the feature points based on matching algorithms
cvut_test
- 实现图像校正、特征点提取、特征匹配到3D图片显示等功能。-3D rebuild
ssift-mattchi
- sift特征点提取代码和对两幅图像提取特征点后进行特特征点匹配，可用于图像拼接等。c和matlab代码都有 -sift feature point extraction code and the special feature points matching image stitching, etc., can be used to extract feature points of the two images. c and matlab code has
asmlibrary-5.0
- ASM（Active Shape Model，主动形状模型），是一种基于统计模型的图像搜索方法。它的优点是能根据训练数据对参数的调整加以限制，从而将形状的改变限制在一个合理的范围。ASM方法首先针对特定目标建立形状模型并采用一系列特征点来描述，称为点分布模型（PDM）；然后对形状模型中的每个特征点建立特征点附近的灰度模型；ASM方法利用灰度模型在目标图像中搜索特征点的最佳位置，同时根据搜索结果调整形状模型的参数，最终使模型匹配到目标的轮廓上。-ASM (Active Shape Model, a
SIFTtutorial
- 对图像提取相应的特征点，并对特征点进行精简与描述，找到128维的描述子，并与另一幅图像的描述子进行比较，得到图像的匹配-Extract the corresponding feature point of the image, and the feature point streamline with the descr iption, to find 128-dimensional descr iptor, and compares with a descr iption of the ima
SURF
- surf特征点检测，并实现两幅图像特征点的匹配-surf feature point detection, and the two images matching feature points
harris-match
- harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接-harris corner detection, and realize two image feature point matching, the final completion of image stitching
SIFT-Library-1.1.2_2010120711
- low sift算法的实现，可以提取一个图像的特征点，也可以实现图像之间的特征点匹配-Scale-Invariant Feature Transform
SIFT-algorithm
- D.G lowe 的尺度不变特征转换算法（SIFT）在基于opencv和OpenGL的源码基础上增加了图像的保存功能。用于对图像的尺度不变特征的提取以及图像特征点的匹配-D.G lowe s scale invariant feature transform (SIFT) algorithm based on opencv and on the basis of OpenGL source to increase the function of image preservation. Used
imageproc
- 图像处理中经常用到的算法。。。比较常用surf特征点匹配、二值化、边缘等需要配置相应的库才能运行-Image processing algorithm is often used in... More commonly used surf feature points matching, binarization and edge need to configure the corresponding library to run
SIFT--VC
- Sift 角点检测，适用于图像特征的匹配，在VC6.0中调试通过.-Sift corner detection, apply to the image feature matching, in VC6.0 debugging through.
matching_surf
- 对输入的两幅图像进行surf特征点匹配，并标注出特征点。-Matching Surf feature points between images
Moravec
- 作用是提取图像角点，用于图像特征匹配的算法。Moravec为经典算子了。(Extracting image corner points for image feature matching algorithm.)
C#提取特征点并进行图像匹配
- 建立在Moravec算子基础上提取特征点后与另外一幅图像进行匹配计算，并输出特征点对应的匹配点像素坐标(Based on the Moravec operator, the feature points are extracted and matched with another image, and the matching pixel coordinates corresponding to the feature points are output)
SIFT特征匹配（matlab版）
- 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)
基于SIFT特征的图像配准（Matlab源代码）
- 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.)