搜索资源列表
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
hog
- HOG特征的实现方案，用于人脸识别，已经被opencv采用-the feature of HOG
HOG-LBPPdetection
- HOG-LBP+detection 行人检测-HOG-LBP+detection Pedestrian Detection
fast-additive-svms.tar
- 基于HOG+LBP+HIKSVM的行人检测算法matlab代码实现，里面包含了libsvm-mat-3.0-1软件包.-the algorithm implementation of pedestrian detection based on the dates+ LBP+ HIKSVM，it contains the libsvm-mat-3.0-1 package
HoG-and-HoG-LBP
- 行人检测中的HoG和HoG-LBP算法的对比试验。-Pedestrian Detection comparative test HoG and HoG-LBP algorithm.
feature-extraction-master
- 特征提取工具包，包含color、gist、hog、sift、lbp、ssim等特征，比较好用-Feature extraction toolbox containing color, gist, hog, sift, lbp, ssim features, relatively easy to use
Image_Feature
- 图像特征的提取，包括HOG特征和LBP特征。-image feature extraction
bishe
- 提取图像的GIST特征，LBP,HOG,RGB四组特征值(Extracting GIST features of images, LBP, HOG, RGB four sets of eigenvalues)
图像识别代码集
- HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)
computer_vision-master
- 图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)