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Compass-feature-image-matching
- 这是一篇关于特征检测与匹配的文章,并且我附上自己的总结,文中不仅对目前为止所有的特征提取的发展历程及优缺点做了一个大致的总结,还提出一种新的特征匹配方法,值得学习图像处理的同学来进行相应的研究-This is an article about the feature detection and matching of the article and I attach a summary of his, in this paper not only of so far all the featur
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
SIFT_Matlab_global-context
- SIFT特征检测算法改进,SIFT描述子加入全局向量,对局部信息相似度高的图像检测的误匹配剔除有明显改进-This paper presents a technique for combining global context with local SIFT information to produce a feature descr iptor that is robust to local appearance ambiguity and non-rigid transformation
Fast-Template-Matching
- 硕士学位论文 图像模板匹配快速算法研究-Research on Fast Algorithm for Image Template Matching
20160223103054341
- 机器视觉常见方法——Halcon描述,图像获取 (前提),模板匹配(定位,比较),Blob分析(基础之一),测量(结果),其它应用 . -Machine vision common methods- Halcon descr iption, image acquisition (prerequisite), template matching (positioning, comparison), Blob analysis (based on one), measurement (resul
dtbkv
- 粒子图像分割及匹配均为自行编制的子例程,小波包分析提取振动信号中的特征频率,计算目标和海洋回波的功率谱密度。- Particle image segmentation and matching subroutines themselves are prepared, Wavelet packet analysis to extract vibration signal characteristic frequency, Calculating a target and ocean echo po
ge723
- 粒子图像分割及匹配均为自行编制的子例程,数据包传送源码程序,处理信号的时频分析。- Particle image segmentation and matching subroutines themselves are prepared, Data packet transfer source program, When processing a signal frequency analysis.
3103
- 汽车课设货车Matlab驱动力图程序,粒子图像分割及匹配均为自行编制的子例程,一个师兄的毕设。- Car class-based truck driver trying to Matlab program, Particle image segmentation and matching subroutines themselves are prepared, A complete set of brothers.
fw802
- 数据模型归一化,模态振动,完整的基于HMM的语音识别系统,粒子图像分割及匹配均为自行编制的子例程。- Normalized data model, modal vibration, Complete HMM-based speech recognition system, Particle image segmentation and matching subroutines themselves are prepared.
8346
- 粒子图像分割及匹配均为自行编制的子例程,isodata 迭代自组织的数据分析,添加噪声处理。- Particle image segmentation and matching subroutines themselves are prepared, Isodata iterative self-organizing data analysis, Add noise processing.
tuxyk
- 复化三点Gauss-lengend公式求pi,光纤无线通信系统中传输性能的研究,粒子图像分割及匹配均为自行编制的子例程。- Complex of three-point Gauss-lengend the Formula pi, Fiber Transmission wireless communication system performance, Particle image segmentation and matching subroutines themselves are prepa
nyapv
- 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,STM32制作的MP3的全部资料。- Particle image segmentation and matching subroutines themselves are prepared, Based on SVPWM three-level inverter matlab simulation, STM32 all the information produced by the MP3.
xb267
- 匹配追踪和正交匹配追踪,滤波求和方式实现宽带波束形成,利用matlab针对图像进行马氏距离计算 。- Matching Pursuit and orthogonal matching pursuit, Filtering summation way broadband beamforming, Using matlab to calculate the Mahalanobis distance for the image.
iq245
- 结合PCA的尺度不变特征变换(SIFT)算法,正确率可以达到98%,粒子图像分割及匹配均为自行编制的子例程。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Accuracy can reach 98 , Particle image segmentation and matching subroutines themselves are prepared.
bk448
- 用MATLAB实现动态聚类或迭代自组织数据分析,旋转机械二维全息谱计算,粒子图像分割及匹配均为自行编制的子例程。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Rotating machinery 2-d holographic spectrum calculation, Particle image segmentation and matching subroutines themse
tn512
- 直线阵采用切比学夫加权控制主旁瓣比,对于初学matlab的同学会有帮助,粒子图像分割及匹配均为自行编制的子例程。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Matlab for beginner students will help, Particle image segmentation and matching subroutines themse
2077
- 有详细的注释,MIT人工智能实验室的目标识别的源码,粒子图像分割及匹配均为自行编制的子例程。- There are detailed notes, MIT Artificial Intelligence Laboratory identification of the target source, Particle image segmentation and matching subroutines themselves are prepared.
5335
- 利用matlab针对图像进行马氏距离计算 ,基于chebyshev的水声信号分析,匹配追踪和正交匹配追踪。- Using matlab to calculate the Mahalanobis distance for the image, Based chebyshev underwater acoustic signal analysis, Matching Pursuit and orthogonal matching pursuit.