搜索资源列表
hog_svm
- matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
程序
- 检测前景,提取HOG特征,建立数据库,计算梯度(Detecting foreground and extracting HOG features)
ImgHOGFeature
- HOG特征计算,(1)将输入的彩图转换为灰度图; (2)采用Gamma校*对输入图像进行颜色空间的标准化(归一化);目的是调节图像的对比度,降低图像局部的阴影和光照变化所造成的影响,同时可以抑制噪音的干扰; (3)计算梯度;主要是为了捕获轮廓信息,同时进一步弱化光照的干扰。 (4)将梯度投影到单元的梯度方向;目的是为局部图像区域提供一个编码, (5)将所有单元格在块上进行归一化;归一化能够更进一步对光照、阴影和边缘进行压缩,通
hog_svm
- hog+svm的Demo,实测可以运行,搭配INRIA图片集准确率为0.96. 不足:直接把图片缩小为64*128来检测,window的滑动没有。(the demo of HOG+SVM, could run,; not enough: it resize image to 64*128. the window have no slide.)
hog_bp
- 利用直方图hog特征,在bp神经网络下的分类。(Classification of BP neural networks using histogram hog features.)
hog_svm
- 这文件夹包含了,hog特征提取,多类SVM分类器,数据库,图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)
hogcalculator
- matlab实现了hog特征提取,函数封装的比较好,十分的简洁高效(obtain HOG character through matlab)
hogsvm
- 结合HOG特征算子和SVM分类器的目标识别代码,这是一个节点性的贡献(Target recognition code combining HOG feature operator and SVM classifier)
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理,自己编写了HOG特征提取算法,此特征可以用于目标检测中,包括行人检测,采用编程语言为C++,采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This
gistdescriptor
- Example of a souce code of hog descr iptor.
HOGFeature
- Hog特征提取,提取大量特征用于图像的分类识别(Hog Feature Extraction)
hogfeature
- 利用积分图的方式提取图像hog特征,用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)
hog100% -国外
- 采用HOG特征实现静脉识别,需自己处理数据集,准确率为100%。(HOG feature is used to realize vein identification, and the data set is processed by ourselves. The accuracy is 100%.)
cHog
- 在opencv上实现hog特征的提取,相关的配置不多描述,参照opencv的配置(Pedestrian detection based on OpenCV)
SVM_Train_Predict_HOG
- 通过HOG,和SVM训练,统计出一张图片中的人数(Through the HOG, and SVM training, statistics a picture of the number of people)
hog_svm
- 利用hog特征以及svm实现两个类别图像的分类(Classification of two categories of images using hog features and SVM)
SVM
- 通过HOG获取特征,用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
ref31
- Parameter Selection for Efficient HOG-based car detection
hogsvm
- 提取hog特征进行图片检测,得到的准确性作为判别依据(Extracting hog features for image detection)
amy
- matlab 一个简单的应用程序,基于HOG特征提取的算法。(Matlab a simple application, based on HOG feature extraction algorithm.)