搜索资源列表
SpeededUpRobustFeatures
- Speeded Up Robust Features 在SIFT特正点匹配算法上进行改进，代码已完成Matlab->VC的程序打包-Speeded Up Robust Features in the SIFT matching algorithm special on-time improvement, the code has been completed Matlab-> VC packing process
siftvc
- sift算法的vc实现，能对多源遥感影像进行处理匹配 功能强大 值得学习-sift algorithm vc implementation, able to multi-source remote sensing image processing match the powerful worth learning
SiftTest
- SIFT算法的VC实现，在VC++6.0下编译通过。 需要OpenCV的支持。-SIFT algorithm VC realized in compiled by VC++6.0. Need OpenCV support.
mysift-face
- 用VC++实现SIFT算法的人脸识别的源代码-SIFT using VC++ to achieve the source code for face recognition algorithms
PCA
- this the implementation of PCA written by vc. It is very useful in image matching. Wish help you.-this is the implementation of PCA written by vc. It is very useful in image matching. Wish help you.
sift_matching
- sift图像匹配,基于vc和matlab的sift图像特征匹配的方法-sift matching
SIFT.VC
- sift算法的vc++实现，包含openvc和gsl库-sift algorithm for vc++ implementation, including openvc and gsl libraries
SIFT
- 基于VC++的SIFT特征提取,快速准确-SIFT features based on VC++
Image-SIFT
- SIFT算法，全景图像拼接VC源码，带中文注释，在VC6.0下编译通过-SIFT algorithm _ panoramic image mosaic VC source (with Chinese comments) compiled by the VC6.0
SIFT_VC_modified_snk
- 自己修改好的SIFT，可针对多模态图像进行配准！-
SIFT
- SIFT算法VC++实现，并附有详细的代码详解-SIFT algorithm and code Detailed
SIFT openCV及详解
- SIFT算法Open VC源程序，包括程序详细说明……
sift
- 基于OPENCV和VC++6.0下编写的sift算法 实现了特征点提取-OPENCV sift
k-mean-sift
- K均值分割 在图像角点提取中使用 使用VC++进行的编程-K-means segmentation the image corner extraction using VC++ carried programming
SIFT
- SIFT算法的VC代码实现，实现图像的SIFT特征提取和显示特征点位置，算法用class封装完整，直接可以使用-code for SIFT of VC++
Sift-Match
- 基于VC平台的sift算法 对于了解sift算法的实现很有帮助-a image matching method with sift
Sift
- SIFT算法用VC的实现，主要编程语言是VC++，有兴趣者可以下来-SIFT algorithm achieved with VC
sift
- 一种sift提取特征算法的VC实现源代码，测试可以正确实现特征点的检测和提取-sift feature extraction codes by VC
SIFT
- 这是一个SIFT算法的实现程序代码，vc编程的，经更改后可用-This is a SIFT algorithm code, vc programming, the changes are available
sift-VC
- 用VC实现的SIFT算法，可用于图像识别，具有一定参考价值-SIFT algorithm using the VC can be used for image recognition, has a certain reference value