搜索资源列表
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
FaceDetection
- 人脸检测。用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像（或影像）中是 否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实 现机器智能化的重要步骤之一。 AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里 程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在 效率不降低的情况下，检测正确率得到了很大的提高。-Face Detection. Using c++ to prepare. Fac
cv_test
- 使用OPEN CV 完成行人偵測 內附圖片 實測效果-OPEN CV using the completion of the pedestrian detection measured the effect of inserting pictures
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
objectdet20070707
- cvpr07年 对象检测代码 hog+svm，压缩包里含有行人，车辆等分类器，可以直接检测-cvpr07 on object identification code hog+ svm, compression bag with pedestrians, vehicles and other classifiers
train
- 进行svm分类器的训练，作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
svm-detect-paper
- svm分类检测算法研究，用到opencv相关库，是论文来的，希望能够对所需者有用-svm detect paper
SVM
- VC6.0编写，基于OpenCV的支持向量机分类程序，在400×400的平面上生3类随机样本点，然后给出利用SVM分类的决策面和支持向量-VC6.0 written OpenCV-based support vector machine classification procedures, the plane of 400 × 400 random samples of raw Category 3 points, and then give the decision-making surfac
SVM_classification
- OpenCV SVM分类测试代码 利用SVM解决2维空间向量的3级分类问题-OpenCV SVM classification test code to use the three classification problems SVM to solve the two-dimensional vector space
svm_train
- 利用opencv中svm训练器进行训练，代码能运行-Opencv svm training training, code can run
SVM
- C est code de SVM pour effectuer un apprentissage utlisant la bibliothèque opencv
HOG-SVM
- 基于opencv实现利用HOG+SVM进行物体分类-Classification of objects using HOG+SVM based on OpenCV
the-SVM-and-bow-opencv-source-code
- 基于svm和bow的opencv实现源码-Based on the SVM and bow opencv source code
SVM-image-classification--OpenCV--
- 基于SVM与BoW的图片分类的OpenCV实现，从外国网站下载的-SVM-based image classification with BoW OpenCV implementation from foreign website
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
svm-code-in-openCV
- Support Vector machine classification implementation in C++ including the library OpenCV-Support Vector machine classification implementation in C++ including the library OpenCV
libSVM-opencv
- 使用opencv实现SVM，测试样例是三种不同的花，具有不一样的花瓣长度等参数-Using opencv achieve SVM, test samples are three different flowers, with petals of different parameters such as length
classification
- 利用opencv和C++编写一个分类程序。主要是利用opencv自带的SVM算法进行编写。-Use opencv and C++ write a classified program. Mainly using opencv SVM algorithm comes prepared.
animal_identification
- opencv/SVM算法/简单的动物识别（猫/鸟/鱼。。。）-opencv /SVM algorithm/ simple animal identification (cats/birds/fish ...)