搜索资源列表
Steerablecode
- 局部滤波器的特征提取方法，能够很好的反映图像的细节特征和纹理特征。-The characteristics of the local filter extraction method can be a good reflection of the details of image features and texture features.
Objectrecognitionfromlocalscale-invariantfeatures
- Object recognition from local scale-invariant features
SMQT-SNoW-face-detection
- Face Detection using local SMQT features and split up SnoW classifier
FDMver1.0
- 用Matlab实现的人脸检测算法. Based on the paper: Face Detection using Local SMQT Features and Split Up SNoW Classifier-Face Detection algorithm for Matlab. Based on the paper: Face Detection using Local SMQT Features and Split Up SNoW Classifier
lle
- 流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集-Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict
lbp.m
- Local Binary Patterns Features Extraction
MySiftCode(Matlab)
- 本代码是用来检测图像的局部不变特征的，主要参考DAVID G. LOWE的sift的论文。变成工具是matlab。-This code is used to detect the image of local invariant features, the main reference DAVID G. Lowe s sift paper. Become a tool is Matlab.
MATLABfacegaborprotected
- Face Recognition Based on Local Features
LBP
- 一种有效的纹理描述算子，局部二进制模式。描述图像局部纹理特征-An effective texture descr iption of the operator, local binary pattern. Descr iption of the image texture features
boxoex
- This example uses some advanced features of the toolbox. The data is made of two batches and some of the unknowns are local to the batches.
renlianjiance
- 人脸检测的代码，是一篇ACE DETECTION USING LOCAL SMQT FEATURES AND SPLIT UP SNOWCLASSIFIER中的代码-Face detection code, a code ACE DETECTION USING LOCAL SMQT FEATURES AND SPLIT UP SNOWCLASSIFIER
descriptorx
- Local Depth SIFT and Scale Invariant Spin Image local features for 3D meshes
Chaotic-Particle-Swarm-Optimization
- 混沌粒子群优化（CPSO, Chaos Particle Swarm Optimization）算法融合了PSO算法的快收敛和CO算法的遍历随机等特点，在PSO算法每一代挑选出的最优解附近的区域里，用混沌算法进一步搜索，防止其陷入局部最优值，从而改进了PSO算法的不足，成为一种高效的优化算法。-Chaotic Particle Swarm Optimization (CPSO, Chaos Particle Swarm Optimization) algorithm combines the f
sss
- - Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non pa
Fast-Tracking
- “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
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
SURF
- Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform
Untitled3
- 人口迁移算法模拟的是社会领域中人口随经济重心而转移、随人口压力增加而扩散的机制，即模拟的是人往高处走、人往富处流，当某个优惠地区的相对人口过剩，人口压力增加时，人们就会迁出该优惠地区去寻找更好更适合自己的优惠地区的这样一种规律。前者促使算法选择较好的区域搜索，后者可在一定程度上避免陷入局部最优点，搜索过程呈现交替进行集中搜索和分散搜索的特点。这体现了人口迁移过程中人口不断聚集和扩散的矛盾运动的特点。后来由我国学者徐宗本给出了人口迁移算法改进的形式。-Population migration al
code
- 1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m
LBP
- LBP指局部二值模式，英文全称：Local Binary Pattern，是一种用来描述图像局部特征的算子，LBP特征具有灰度不变性和旋转不变性等显著优点。(LBP refers to the local binary pattern, is an operator used to describe the local features of the image, LBP features with gray scale invariance and rotation invariance a