资源列表
eccv_2014_deepresolution
- 汤晓鸥的一篇论文，使用卷积神经网络实现图像的超分辨率。-Tang Xiaoou s a paper, the use of convolutional neural network to achieve image super-resolution.
timecup
- 基于运动目标opencv的时间差分运动目标检测-Opencv moving target based on the time difference moving target detection
backgroundtextureaccess-2-0-7
- 高通增强现实源码This Vuforia (TM) sample code provided in source code form (the "Sample Code") is made available to view for reference purposes only. If you would like to use the Sample Code in your software application, you must first download the Vuforia S
ENC_ROOT
- 包含26幅电子海图（美国部分水域）000.格式的。使用YimaEncViewer软件可以打开。-Contains 26 electronic chart (part of the waters of the United States) 000. Format. YimaEncViewer software can be used to open.
gsl_win_setup
- GNU Scientific Library GSL1.8 ,GSL1.9 GSL windows环境下的安装程序 运行Rob Hess SIFT 必备
she_cai_shibie
- 色彩识别进行肤色检测 用于存图像的一个中间变量，是用来分通道用的，分成hsv通道-Color skin detection is used to identify an intermediate variable stored image is used for sub-channel, the channel is divided into hsv
GISabout-a-projection
- 这是一个关于GIS的工程文件，系统的具体源码。-This is about the GIS engineering documents, the system of the specific source
aamlibrary_Ya0Wei
- 通过一系列凸显预处理，实现人脸边缘检测。然后提取出眼、鼻、口三处特征点、并标记出来。-Highlighted by a series of pre realize the face edge detection. Then extract the eyes, nose, mouth three feature points, and marked.
3mosaic
- 这个程序是用MATLAB编写的用于图像拼接，包括特征点提取及匹配。很好用，里面有图片。-it includes feature dectecting and corresponding feature points matching.it realizes the image mosaic.It also contains the images used for mosaicing.
mqzh
- 总结了数字图像盲取证技 术研究基础与发展方向，分别从数字图像取证理论模型、针对篡改手 段的真实性取证、针对隐密方法的完整性取证、基于图像自然属性的 原始性取证和隐密分析取证系统框架五个方面进行了研究 -Summary of digital image forensics technology research and development base, respectively, from the theoretical model of digital image forens
SAR-denoise
- 该程序集合了多种SAR图像去噪的方法，包括基本的中值滤波均值滤波-The program set a variety of SAR image denoising methods, including the basic median filtering of the mean filter
dip
- 包括了所有常用图像处理的函数 包括：噪声去除， 边缘检测，图像编码，几何变换，正交变换，图像复原，图像分析 -Includes all commonly used image processing functions include: noise removal, edge detection, image coding, geometric transformation, orthogonal transformation, image restoration, image analy