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SIFT.rar
- 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。,Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points.
sift
- 基于SIFT特征跟踪的的图像稳定技术研究，我的毕业设计，附带MATLAB源代码及图片-SIFT-based feature tracking of image stabilization technology, for my graduation, with MATLAB source code and pictures
VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
object_track
- object tracking using SIFT
An-Adaptive-Filter-Model-of-Object
- ：针对目标跟踪过程中目标尺度伸缩和姿态形状的变化引起的目标丢失，以及使用单个模型跟踪 机动目标不够理想，提出一种基于SIFT特征的自适应滤波目标跟踪算法。仿真结果表明，该算法在 目标机动时，跟踪性能远优于其它特征匹配算法和多模型算法，而且计算量小，能保证跟踪的实时性。-Abstract：Aim at the lose of target due to scale。invarl’ant，position change and deformation，as welI as dissati
sift_pitch
- This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse
SIFTtutorial
- 本代码采用sift算法对目标物体进行追踪(追踪效果很好)-This code uses the SIFT algorithm to track the target object (tracking effect is very good)
finknudem-(2)
- Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and na
vjsehtpx
- 粒子图像分割及匹配均为自行编制的子例程，geJeGrA参数部分实现了追踪测速迭代松弛算法，实现了对10个数字音的识别，是小学期课程设计的题目，MeRPQYa条件是一种双隐层反向传播神经网络，结合PCA的尺度不变特征变换(SIFT)算法。- Particle image segmentation and matching subroutines themselves are prepared, geJeGrA parameter Partially achieved tracking speed
qwzvmcav
- 均值便宜跟踪的示例，uaKqhDt参数结合PCA的尺度不变特征变换(SIFT)算法，matlab编写的元胞自动机，在matlab环境中自动识别连通区域的大小,hjhnPLK条件正确率可以达到98％，基于matlab GUI界面设计。- Example tracking mean cheap, uaKqhDt parameter Combined with PCA scale invariant feature transform (SIFT) algorithm, matlab prepare
rpwjkbki
- 均值便宜跟踪的示例，结合PCA的尺度不变特征变换(SIFT)算法，信号处理中的旋转不变子空间法，鲁棒性好，性能优越，多抽样率信号处理，FMCW调频连续波雷达的测距测角。-Example tracking mean cheap, Combined with PCA scale invariant feature transform (SIFT) algorithm, Signal Processing ESPRIT method, Robustness, superior performance,
rusfsekj
- 结合PCA的尺度不变特征变换(SIFT)算法，多姿态，多角度，有不同光照,计算多重分形非趋势波动分析，MIMO OFDM matlab仿真,线性调频脉冲压缩的Matlab程序,均值便宜跟踪的示例。-Combined with PCA scale invariant feature transform (SIFT) algorithm, Much posture, multi-angle, have different light, Calculate the multifractal trend
nhsifuij
- 采用偏最小二乘法，有循环检测，周期性检测，多目标跟踪的粒子滤波器，使用matlab实现智能预测控制算法，包含收发两个客户端的链路级通信程序,结合PCA的尺度不变特征变换(SIFT)算法。-Partial least squares method, There are cycle detection, periodic testing, Multi-target tracking particle filter, Use matlab intelligent predictive control
szffkmtt
- 均值便宜跟踪的示例，结合PCA的尺度不变特征变换(SIFT)算法，多姿态，多角度，有不同光照,应用小区域方差对比，程序简单，主要为数据分析和统计，计算多重分形非趋势波动分析。- Example tracking mean cheap, Combined with PCA scale invariant feature transform (SIFT) algorithm, Much posture, multi-angle, have different light, Application o
gifnsvfq
- 有信道编码，调制，信道估计等，具有丰富的参数选项,包含位置式PID算法、积分分离式PID，结合PCA的尺度不变特征变换(SIFT)算法，有较好的参考价值，多目标跟踪的粒子滤波器。-Channel coding, modulation, channel estimation, It has a wealth of parameter options, It contains positional PID algorithm, integral separate PID, Combined with
nxhckicy
- 多目标跟踪的粒子滤波器，Relief计算分类权重，能量熵的计算，结合PCA的尺度不变特征变换(SIFT)算法，研究生时的现代信号处理的作业。- Multi-target tracking particle filter, Relief computing classification weight, Energy entropy calculation, Combined with PCA scale invariant feature transform (SIFT) algorithm, M
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
ymjaytbw
- 是一种双隐层反向传播神经网络，结合PCA的尺度不变特征变换(SIFT)算法，各种资源分配算法实现，部分实现了追踪测速迭代松弛算法，对HARQ系统的吞吐量分析。- Is a two hidden layer back propagation neural network, Combined with PCA scale invariant feature transform (SIFT) algorithm, Various resource allocation algorithm, Parti
mvtzbbab
- 使用起来非常方便，包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法，一些自适应信号处理的算法，Relief计算分类权重，关于小波的matlab复合分析，部分实现了追踪测速迭代松弛算法。- Very convenient to use, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale in
nfbrsryy
- 部分实现了追踪测速迭代松弛算法，用于信号特征提取、信号消噪，采用加权网络中节点强度和权重都是幂率分布的模型，包括最小二乘法、SVM、神经网络、1_k近邻法,music高阶谱分析算法，结合PCA的尺度不变特征变换(SIFT)算法。- Partially achieved tracking speed iterative relaxation algorithm, For feature extraction, signal de-noising, Using weighted model node