资源列表
BasicLinearTransforms
- Image Proc BasicLinearTransforms.zip use c++ on Windows
bcs-spl-1.5-1 (1).tar
- BCS-SPL将图像的基于块的压缩感测采样（BCS）与平滑的投影Landweber（SPL）迭代重建相结合。采样是通过逐块应用随机矩阵来驱动的，而重建则是预期的Landweber（PL）重建（也称为迭代硬阈值（IHT））的变体，其结合平滑操作（维纳滤波）减少块效应。实质上，除了PL所固有的稀疏性之外，这种滤波操作还能提供平滑性。(BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a sm
BasicLinearTransformsTrackbar
- Image Proc BasicLinearTransformsTrackbar.zip use c++ on Windows
calcBackProject_Demo1
- Image Proc calcBackProject_Demo1.zip use c++ on Windows
mc-bcs-spl-1.1-1.tar
- MC-BCS-SPL是BCS-SPL的运动补偿版本，采用视频的帧到帧残差重建。(MC-BCS-SPL is a motion-compensated version of BCS-SPL employing frame-to-frame residual reconstruction for video.)
ms-bcs-spl-1.2-2.tar
- MS-BCS-SPL是BCS-SPL的多尺度版本，它在小波变换的领域内部署了BCS。(MS-BCS-SPL is a multiscale version of BCS-SPL that deploys BCS within the domain of a wavelet transform.)
bcs-spl-dpcm-1.0-2 (1).tar
- BCS-SPL-DPCM将DPCM和均匀标量量化应用于BCS-SPL，以从BCS测量产生压缩比特流。(BCS-SPL-DPCM applies DPCM and uniform scalar quantization to BCS-SPL to produce a compressed bitstream from the BCS measurements.)
Feature_extraction
- 用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, disc
PCA+GUI人脸识别
- 基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
System_Windows_Forms_Calendar_003
- sample program of scheduling calendar
ngx_lua
- 采用nginx、lua和GraphicsMagick工具简单实现图片的自动裁剪功能。其中nginx负责展示图片和调度lua脚本，GraphicsMagick负责对原图进行裁剪(Picture interception)
FaceCropping
- 可以自动提取图像中的人脸，但是有的人脸要手动标注，比较方便(It can automatically extract the face in the image)