资源列表
基于SVM支持向量机的行人识别C++源程序
- 基于SVM支持向量机的行人识别C++源程序，支持最新的opencv2.0版本.在VC环境下配置opencv2.0后，可以运行检测静止图像中的行人。-people recognition based SVM(supporting vector machine) detector launched by Dalal with the OpenCV2.0 environment.this can work on the static images
denseSift.extract dense sift for each image patch
- extract dense sift for each image patch, because no salient keypoint detection and rotation normalization, it is very efficient.,extract dense sift for each image patch, because no salient keypoint detection and rotation normalization, it is very eff
hello.提取二值图像中线条的坐标
- 从磁盘中读入图像文件，并将图像显示在屏幕上。-Read bmp photo and display on moniter!
surfature.计算一个三维表面的高斯曲率和平均曲率Matlab程序
- 计算一个三维表面的高斯曲率和平均曲率Matlab程序,COMPUTE GAUSSIAN AND MEAN CURVATURES OF A SURFACE
number计算颗粒个数.rar
- 计算图像中颗粒的个数，程序比较简单，用到了形态学的方法。,image calculated the number of particles, the procedure is relatively simple, use the morphological method.
三维人脸识别.rar
- 一篇较新的论文,是关于三维人脸的综述,别人已发表在重要刊物上的.,a relatively new paper on 3D Face Review, the others have published in the major journals.
fenleichengxu.rar
- 用VC++实现图像的分类识别，模板匹配分类器，Bayes分类器，线性函数分类法，非线性分类法，神经网络分类器,With VC++ Achieve image classification and recognition, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers
XPPS.DXFView.rar
- 此程序的功能是读取DXF格式的文件。可以读出AutoCAD 的dxf格式文件,This program
csfilter.rar
- 本程序是运用kalman filter实现机动目标跟踪的程序，其中运用的模型是当前统计模型！有需要的拿去，大家一起学习！,This procedure is to use kalman filter to achieve maneuvering target tracking procedure, in which the model is the use of current statistical model! Take in need and we can work together to
light0002.rar
- 基于肤色的人脸检测,这个经典实用，准确，给做图像的朋友。,Based on the color of the face detection, the classic and practical, accurate, and to do image friend.
License_Plate_Recognition.rar
- VC编的车牌识别系统，采用简单的SDI框架结构 ，一次处理一幅位图,VC series license plate recognition system, SDI, using a simple frame structure, one dealing with an bitmap
PCALDA.rar
- 这是自己毕业设计做的PCA和LDA的结合，训练和识别过程都有，用的是ORL库里的图像，具有较高的识别率！,This is the pca+lda,and it has the good recognition!