搜索资源列表
Image-Correlation-Tracking
- 数字图像相关计算和跟踪算法的Matlab实现 这个程序实现从一系列图像中计算图像应力,可以计算出水平和垂直的应力。-Source Code for Digital Image correlation and Tracking Calculate displacement and strain from a series of images
ArteryReco
- 定性与定量地描述冠状动脉血管,很大程度依赖于造影图像中的血管结构识别结果,对此,提出了一种多特征模糊识别算法判别血管结构.实现过程中,首先通过图像预处理获得血管初始特征,然后利用一圆周探测器沿血管路径扫描并获取多种局部测度;在定义各种局部测度的多特征模糊子集及其隶属度函数之后,通过构造模糊识别算子准确地判别血管的端、段、分支和交叉结构.该方法在仿真血管模型和多套实际冠状动脉造影图像上获得了较好的效果,对实际图像的结构识别平均正确率达到92 。-Qualitative and quantitati
libface-0.1
- Libface是一个跨平台的框架的人脸识别算法和测试发展其性能-Libface is a cross platform framework for developing face recognition algorithms and testing its performance
cross-vialide
- 这个是交叉人脸识别的论文,写的非常好-This is a cross-face recognition papers, written in a very good! !
classknn
- 用knn的方法做手写数字检测。输入文件为带标记的手写文字。数字为snapshot的位置。用到cross-folder来检测证据率-using knn do to handwriting detection
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
target
- 通过计算最大互相关(Cross Correlation),在给定的图像中检测目标图像,并在图像显示窗口中高亮该区域-By calculating the maximum cross-correlation (Cross, The Correlation), detection of the target image in a given image, and highlight the region in the image display window
Calculate-the-width-of-the-fovea
- 通过简单的canny算子与图像处理,将眼底视网膜的截面图中的关键点识别出来,内含示例图片以及原理论文。-By simply canny operator and image processing, the cross-section in Figure retinal key points identified, as well as the principle of paper containing sample pictures.
crossvalidation
- 利用交叉验证法进行支持向量机的参数优化,最后输出识别结果-The use of cross-validation method for parameter optimization support vector machine, the final output recognition results
Pcl_object_recognition
- 基于PCL库的图像实时识别,PCL(Point Cloud Library)是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库,它实现了大量点云相关的通用算法和高效数据结构,涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。支持多种操作系统平台,可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行-Image library based on real-time identification PCL, PCL
7386140
- 此算法为多传感器目标定位法,是基于实现交叉定位,采用公垂线法,-The algorithm for sensor target positioning method, is based on the realization of cross positioning, using the common normal method,
libsvm-3.22
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式
GCC and Fingerprinting
- Performance Comparison between Generalized Cross-correlation Time Delay Estimation and Fingerprinting Method for Acoustic Event Localization
ky058
- 通过反复训练模板能有较高的识别率,ICA(主分量分析)算法和程序,包括广义互相关函数GCC时延估计。( Through repeated training TegCJHclate have higher recognition rate, ICA (Principal Component Analysis) algorithm and procedures, Including the generalized cross-correlation function GCC time delay e