搜索资源列表
robwhess-opensift
- 基于局部不变特征的图像匹配。利用SIFT算法实现局部特征的检测与提取，再用RANSAC算法筛选特征点，提高正确的匹配率。-Based image matching local invariant features. Use SIFT algorithm to detect and local feature extraction, and then filtering feature points RANSAC algorithm to improve the correct match rat
vehicle-classfication
- 正确的程序，求图像不变矩，根据匹配度进行分类-Correct procedures for image invariant moments, classified according to the degree of match
ourdev_635737G1JR61_WIN7
- 实习图像轮廓的匹配,模板匹配，图像配准，能实现两幅图像的匹配-Practice match the image outline, template matching, image registration, to achieve the matching of two images
Opencv
- 本资料搜集了OPENCV有关图像识别与匹配的相关资料，主要有常用的一些图像匹配的研究文献和相关使用的文章。-The data collected relevant information OPENCV image recognition and matching, mainly used in the research literature that match some of the images and the associated use of the article.
Test
- 利用opencv进行图像匹配，采用SURF算法。另求出基本矩阵 并验证准确性-using SURF method to match the image with the help of opencv and get the fundamental matrix also
face-detect
- 在安卓NDK下实现了图像的sift检测，可以圈出特征点，并且能够匹配二幅图像，需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
ConverttoStraightLineDetector
- detecting line image is very crucial especially if the image hand made. we first apply threshold, thinning and finally apply angle match-detecting line image is very crucial especially if the image hand made. we first apply threshold, thinning and f
imagestitching
- 实现了图像的简单拼接。首先寻找特征点，然后计算描述子（特征向量），对寻找到的特征点进行匹配，并塞选匹配结果，然后计算透视 矩阵，将其中一幅图进行透视变换，然后将图片合成。对一些简单的图片比较有效。仅供参考学习。(Realize the simple stitching of the image. First, find the feature point, and then calculate the descr iptor (eigenvector), match the feature po