搜索资源列表
SURFandRANSAC
- 本程序的功能是基于opencv库，用SURF提取特征，并保存描述子，再用随机抽样一致性算法剔除错误的匹配点，保存匹配好的点坐标，效果可以，你也可以换成SIFT或ORB来看效果。-This procedure is the function of feature extraction using SURF, and save the descr iptor matching points and random consistency algorithm to eliminate errors, s
Landmark-recognition
- 读取路标图像，然后对图像预处理，提取特征，训练模板，识别时使用sift匹配识别,还有GUI界面，点击运行以后就可以使用，带有图像库-Read signs image, then the image preprocessing, feature extraction, training templates, identifying matching using sift recognition, as well as the GUI interface, you can click on Run
iexuapvr
- 匹配追踪和正交匹配追踪，多目标跟踪的粒子滤波器，结合PCA的尺度不变特征变换(SIFT)算法，抑制载波型差分相位调制，针对EMD方法的不足。- Matching Pursuit and orthogonal matching pursuit, Multi-target tracking particle filter, Combined with PCA scale invariant feature transform (SIFT) algorithm, Suppressed carrier
myOpenCV35
- 采用opencv2.2和vs2010，图像SURF特征检测，SIFT特征检测，以及特征匹配-Using opencv2.2 and VS2010, image SURF feature detection, SIFT feature detection, and feature matching
MATCHING_USING_SIFT
- matching of the images using SIFT.Here sift is used to extract the features of an image.In this we take an image extract the features of that image and finally make a model which can be used as a templet for matching.
gqzkiwnk
- D-S证据理论数据融合，GSM中GMSK调制信号的产生，可以得到很精确的幅值、频率、相位估计，研究生时的现代信号处理的作业，粒子图像分割及匹配均为自行编制的子例程，加入重复控制，结合PCA的尺度不变特征变换(SIFT)算法，有借鉴意义哦。- D-S evidence theory data fusion, GSM is GMSK modulation signal generation, You can get a very accurate amplitude, frequency, phas
siftDemo
- 双目视觉特征点匹配，利用Sift算法进行特征匹配，-，stereo vision, use Sift feature matching algorithm,
hczfebhz
- 采用偏最小二乘法，到达过程是的泊松过程，结合PCA的尺度不变特征变换(SIFT)算法，感应双馈发电机系统的仿真，匹配追踪和正交匹配追踪，进行逐步线性回归，是学习PCA特征提取的很好的学习资料。 - Partial least squares method, Arrival process is a Poisson process, Combined with PCA scale invariant feature transform (SIFT) algorithm, Simulation
qiuyskbt
- 进行波形数据分析,GSM中GMSK调制信号的产生，自己编的5种调制信号，匹配追踪和正交匹配追踪，阵列信号处理的高分辨率估计，有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法。- Waveform data analysis, GSM is GMSK modulation signal generation, Own five modulation signal, Matching Pursuit and orthogonal matching pursuit, High-resol
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.
dataset_MorelYu09
- ASIFT作者提供的测试影像数据库,内含两组数据库-This image dataset provides a benchmark for systematic uation of robustness to viewpoint change of the image matching algorithms such as SIFT. The dataset contains two parts: one for absolute tilt test and other for tra
Projects
- SIFT算子opencv3.0原创实现.实现SIFT特征点和描述子以及图像匹配功能-SIFT operator opencv3.0 original implementation. Implement SIFT feature points and descr iptors and image matching
Description-and-extract-key-points
- 关键点描述和提取：SIFT配合暴力匹配进行关键点的描述和提取。-Descr iption and extract key points: SIFT violence with matching descr iption and extract key points.
kougan_V5.1
- 粒子图像分割及匹配均为自行编制的子例程，基于SVPWM的三电平逆变的matlab仿真，结合PCA的尺度不变特征变换(SIFT)算法。- Particle image segmentation and matching subroutines themselves are prepared, Based on SVPWM three-level inverter matlab simulation, Combined with PCA scale invariant feature transfo
SIFTVC6
- 基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现-SIFT feature extraction and matching algorithm based on OPENCV. Contains the full the image of Gauss Pyramid, DOG, space extreme point extraction, key points descr iption, K
sift1
- SIFT_特征提取与匹配算法，通过matlab 编写完成，讲述sift的算法-SIFT_ feature extraction and matching algorithm, through the preparation of MATLAB complete, about the SIFT algorithm
deepmatching_1.2.2
- deepmathing计算图像特种匹配的，比sift匹配效果更好，很实用-Deep matching calculated image special matching, better than sift matching effect, very practical
xbbh
- 基于小波变换的图像拼接,用到SIFT特征点匹配，内容包括源代码及待匹配图像-Image Stitching Based on Wavelet Transform, SIFT feature points used in matching
Imageping
- 采用sift算法获取图像之间的匹配点，并用rance方法估计H矩阵，进行图像拼接-Using sift algorithm to obtain the matching points between images, and rance method to estimate the H matrix, the image mosaic
flann_
- 使用FLANN(近似最近邻算法)实现图像特征的匹配，其中图像特征使用SIFT提取，算法能实现单应性匹配需求。- FLANN (approximate nearest neighbor algorithm) is used to match the image feature, and the image feature is extracted using SIFT. The algorithm can achieve the homography matching requirement.