搜索资源列表
code
- 本程序主要描述了几种彩色图像的特征提取的方法,包含颜色、纹理、的特征提取,还有图像的分割、sift特征点的提取与匹配。-In this experiment an extracting features image based on content is designed.color and texture feature extraction methods are described.There are some segmentation methods and sift key poi
facial-match-and-morph
- 自己写的matlab GUI可根据说明运行,简单方便,代码注释详细;此GUI界面,可完成两种功能:一是人脸匹配,即给出一张人脸可找出在训练库最相近的人脸;二是人脸渐变,选择两张人脸,手工标记关键特征点,便可运行出从一张脸到另外一张脸的渐变过程,而且中间产生的图片会自动保存在文件夹中。自己写的操作步骤说明很详细,希望下载的同学会学到一些知识,有所收获-Write your own matlab GUI can be run according to the instructions, easy,
opencvorb
- 利用Orb算法实现图像特征点的提取,并且通过前后两帧之间的特征点进行特征匹配,为视频稳像、图像融合以及图像识别提供前提条件。-Detecting feature points using Orb algorithm, then matching the points with the detected points frames.That method provide one new way to video stablization ,image fusion and image recog
corners
- 特征检测与匹配是Computer Vision 应用总重要的一部分,这需要寻找图像之间的特征建立对应关系。点,也就是图像中的特殊位置,是很常用的一类特征,点的局部特征也可以叫做“关键特征点”(keypoint feature),或“兴趣点”(interest point),或“角点”(conrner)。Harris角点检测-Feature detection and matching is an important part of the overall application of Compu
ORB_FREAK
- 两种特征提取去方法的比较,看看那一种方法提取特征点更准确,匹配也更准确-The comparison of two kinds of feature extraction methods, the extraction of the feature points is more accurate and more accurate.
Surf-based-image-mosaic
- 基于surf的图像拼接技术包括三大部分:特征点提取与匹配,图像配准,图像合成。-Surf image stitching technology based include three parts: the feature point extraction and matching, image registration, image synthesis.
siftDemoV4
- sift算法在图像匹配领域有着重要作用,通过sift算法可以将模板图片和待检测图片进行特征点提取并进行匹配。-sift algorithm has an important role in the field of image matching, sift algorithm by template image and image to be detected can be the feature point extraction and matching.
3mosaic
- 这个程序是用MATLAB编写的用于图像拼接,包括特征点提取及匹配。很好用,里面有图片。-it includes feature dectecting and corresponding feature points matching.it realizes the image mosaic.It also contains the images used for mosaicing.
dense-stereo
- 基于VC++的双目立体视觉检测 采用SIFT特征点计算稀疏匹配 和稠密匹配-VC++ based binocular stereo vision detection using SIFT feature points to calculate sparse matching and dense matching
CALIBRATION
- 自己编写的,C++编写的用于摄像机程序标定,包括图像匹配,棋盘特征点检测,内参数求解等。-this program is used for calibration.
code
- 三维重建源码,由双目立体视觉进行三位重建。并给出了几种重建方法的介绍,如基于块匹配的三维重建、基于特征点的重建。并且给出了最终结果图像。-Three-dimensional reconstruction of the source code, the three reconstruction by binocular stereo vision. And gives several reconstruction methods, such as 3 d reconstruction based
main
- 运用Opencv库函数,实现图像的特征点提取,特征点描述以及图像匹配。-Opencv use library functions to achieve the image feature point extraction, feature point matching descr iption and image.
SIFTandSURF
- 基于OpenCV,VS2010的环境下,通过SIFT或SURF算法提取物体(此处为象棋)的特征,两张图像的特征进行匹配,匹配点多则认为是同一图像。电脑系统是WIN7,x64。假如是其他版本系统简要配置一下OpenCV环境就可以使用。-Determine the objects are same or not based on OpenCV.
estimateH
- 通过特征提取,匹配,之后计算单应矩阵,可得到对应的特征点-Through feature extraction, matching, after calculating homography obtained corresponding feature points
SURF
- 特征点提取与匹配,很好的一种图像配准算法-Feature point extraction and matching, a good image registration algorithm
build-sift_match-Desktop_Qt
- SIFT特征点提取与匹配。实现平台:QT+OPENCV2.4.10.-SIFT feature point extraction and matching. Implementation platform: QT+OPENCV2.4.10.
ransac
- ransac算法实现剔除错误的匹配特征点,可用,可用,可用。-ransac algorithm eliminate false matches feature points, available, available, available.
Harrispin
- 采用小波变换提取图像特征,对图像特征点进行匹配可以实现畸变图像校正。-Using wavelet transform to extract image features, the image feature points matching can be achieved distortion image correction.
OpenCV_Surf
- 基于OpenCV实现的,基于SIFT和SURF算法的特征点提取匹配程序,包含野点消除,和Ransac处理过程。-OpenCV to achieve, based on the feature point extraction algorithm SIFT and SURF matching procedures, including the elimination of outliers, and Ransac process based.
sift
- 改进的sift匹配算法,提取到sift特征点之后加上ransac去做筛选误识别点-After matching algorithm Improved sift, sift feature points extracted to do screening plus ransac erroneous identification point