资源列表
opencv3.2_SIFT+flann
- 本程序用于图像拼接，使用了SIFT特征点匹配，加上了加权融合算法去除了明暗接缝(This program is used for image stitching, using SIFT feature point matching and adding a weighted fusion algorithm to remove the bright and dark seams)
kaze-master
- Kaze的实现源码，其中包括KAZE的核心算法库以及KAZE特征的提取、匹配和比较等例程，是基于OpenCV实现的。(Kaze source code, including KAZE core algorithm library and KAZE feature extraction, matching and comparison routines are based on OpenCV.)
opencv-akaze
- opencv-图像特征检测算法 akaze(Opencv- image feature detection algorithm akaze)
OpenCV的人脸验证MFC程序
- 检测人脸，基于MFC界面。当录入照片后，摄像头再遇到相同的人脸能够识别出来。(Detection of face, based on the MFC interface. When the photos are recorded, the camera can be identified with the same face.)
contoursmatch_cv
- 基于opencv实现轮廓匹配的代码，可以运行(Implement contour matching code with OpenCV)
SLIC
- 超像素分割算法，基于K-means算法，自己写了一个方便优化，非常实用(Super pixel segmentation algorithm, very practical)
mosaic
- Python opencv 基于sift 特征实现两张图片拼接(Python opencv realization of two picture splicing based on SIFT features)
test
- 利用VS2010和Opencv打开摄像头显示画面(Use VS2010 and Opencv to open the camera display screen)
cartest2
- 车牌定位，分割，实现了车牌的二值化 滤波、膨胀、腐蚀、等预操作，然后进行了定位于分割(The license plate location, segmentation, binarization of license plate Filtering, expansion, corrosion, pre operation, and then the positioning in the segmentationn)
SeamCarving
- 使用vs2015、opencv3.0对图像进行seamCarving算法运算(SeamCarving algorithm implement)
imgs_show
- 在python3.6上,采用三种方式处理图片并显示的对比(On python3.6, the contrast of three ways to deal with pictures and display)
96282002Human-Motion-Tracking
- 利用图像的HOG特征训练SVM分类器，对运动人体目标进行跟踪(Using the HOG feature of the image to train the SVM classifier, the program runs through the obtained data.)