搜索资源列表
BDAretrieval
- 使用BDA实现三维模型相关反馈的算法 注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D
KBDAretrieval
- 使用KernelBDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-KernelBDA use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorit
LDAretrievalNew
- 使用LDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D model fro
LBPdetect
- 一种局部二元模式LBP特征的实现，能对图片实现快速检测-A local binary pattern LBP features to achieve, to achieve rapid detection of image
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
Acivs09Code
- AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for this task, and we base our method
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
RElief
- Relief Algorithm RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF is an online algorithm that solves a convex optim
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.
ABC-Delphi-Codes
- 由Karaboga提出的一种人工智能算法（Delphi版），通过模拟蜜蜂寻找食物的行为的优化方法。它的主要特点是不需要了解问题的特殊信息，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。-The proposed by Karaboga, an artificial intelligence algorithm (Delphi Edition), by simulating the bees to find food behavi
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
descriptorx
- Local Depth SIFT and Scale Invariant Spin Image local features for 3D meshes
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
LOMO_XQDA
- 行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards automatic search of a person’s presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and me
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