搜索资源列表
giukeng
- MIT人工智能实验室的目标识别的源码,匹配追踪和正交匹配追踪，用于信号特征提取、信号消噪。- MIT Artificial Intelligence Laboratory identification of the target source, Matching Pursuit and orthogonal matching pursuit, For feature extraction, signal de-noising.
giufei
- 用于特征降维，特征融合，相关分析等,混沌的判断指标Lyapunov指数计算,粒子图像分割及匹配均为自行编制的子例程。- For feature reduction, feature fusion, correlation analysis, Chaos indicator for Lyapunov index calculation, Particle image segmentation and matching subroutines themselves are prepared.
image-retrieval
- 一个可通过颜色、纹理、SHIFT特征来进行图像检索的系统，可以根据需要选择匹配方式，对图像检索具有良好效果。-May be performed by a color, texture, SHIFT feature image retri system, you can choose matching needed for image retri with good results.
SURFPFLANN
- SURF+FLANN特征点匹配，检测目标物-SURF+ FLANN feature point matching for target detection
Suaf-stitch
- 使用opencv完成图像拼接，使用suaf特征点匹配； 有详细的中文注释； 有中间过程（画出特征点、特征点匹配、旋转、曝光修正等）； VS2012工程，使用的是opencv2.4.11； 注意重新配置工程关于opencv的信息；-Use opencv complete image stitching, using suaf matching feature points a detailed Chinese annotation an intermediate process
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
harris
- harris角点检测程序，特征点匹配，效果不错-harris corner detection procedures, the feature point matching
ORB
- 使用orb二值特征描述子进行图像的特征匹配。- Use orb matching binary feature descr iptor for image features.
genghei
- 粒子图像分割及匹配均为自行编制的子例程，利用自然梯度算法，在MATLAB中求图像纹理特征。- Particle image segmentation and matching subroutines themselves are prepared, Use of natural gradient algorithm, In the MATLAB image texture feature.
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
subtract
- Such a performance step-change in improving conventional spatial feature based models is primarily due to the exploration of discriminative space-time features and the fragment selection based matching scheme by the proposed DVR model
kieseng_v85
- 匹配追踪和正交匹配追踪，利用贝叶斯原理估计混合logit模型的参数，用于信号特征提取、信号消噪，是信号处理的基础，MIMO OFDM matlab仿真,已调制信号计算其普相关密度，应用小区域方差对比，程序简单。 - Matching Pursuit and orthogonal matching pursuit, Bayesian parameter estimation principle mixed logit model, For feature extraction, signal
geifiu
- 粒子图像分割及匹配均为自行编制的子例程，用于信号特征提取、信号消噪，基于matlab GUI界面设计。- Particle image segmentation and matching subroutines themselves are prepared, For feature extraction, signal de-noising, Based on matlab GUI interface design.
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
sift
- 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
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
tousei
- 车牌识别定位程序的部分功能，粒子图像分割及匹配均为自行编制的子例程，关于神经网络控制。- Part of the license plate recognition locator feature, Particle image segmentation and matching subroutines themselves are prepared, On neural network control.
SLAM
- 本文研究了基于多传感器组合导航方法的SLAM，由于移动机器人无法通过单个传 感器得到可靠的信息，采用多传感器组合导航的方法可以很好的解决这个问题。本文用单个 CCD摄像头和里程计组合进行SLAM研究，并得到更准确的机器人位姿信息。首先用SIFT 算法对不同图像进行特征提取和匹配，得到本质矩阵，对它进行分解，可得到机器人的旋转 矩阵和平移向量(和实际相差一个比例因子)。然后，将它与里程计信息结合，得到机器人的 位姿。在此基础上，可以得到特征点在当前摄像机坐标系中的三维坐标，即创
CHENGXU
- 图像拼接,基于matlab里面特征点匹配的改进算法的程序。-Image matching, the inside of the improved algorithm of feature point matching based on matlab program.
SIFT
- SIFT是由UBC（university of British Column）的教授David Lowe 于1999年提出， 并在2004年得以完善的一种检测图像关键点（key points , 或者称为图像的interest points(兴趣点) )， 并对关键点提取其局部尺度不变特征的描绘子， 采用这个描绘子进行用于对两幅相关的图像进行匹配（matching）。 目前， SIFT可以说是所有图像局部特征描述特征子 中最火的一个了。-SIFT was developed by David L