搜索资源列表
ImageConvolution_src
- Convolution of images allows for image alterations that enable the creation of new images from old ones. 此源码包含十分详尽的Bitmap位图卷积实现方法-Convolution of images allows for image alt erations that enable the creation of new images from old ones. This source in
purikura
- The program purikura.m frames your images into a beautiful frame. Convert your boring looking images into decorated ones using it. Automatically adjusts the bordering i.e. framing according to the image s dimensions. Save the decorated
cs563_intro
- Understand state-of-the-art techniques for photorealistic rendering Become conversant with cutting edge graphics literature Hands-on exploration of one (or more) of the techniques encountered (a project). Lea
sparse_learning
- cholesky算法信号稀疏解 对于数据压缩有很大帮助-we are the world we are the children we are the ones
ten-papers-on-LBP
- 局部二值模式（local binary patterns，LBP）论文打包。学习LBP十分有用。-papers of local binary patterns (LBP). useful to the ones learning LBP.
SIFT_matlabe1
- This a MATLAB implementation of the SIFT keypoint detector and descr iptor -do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keyp
imageMorphology
- 图片形态学app拥有一个交互式开发环境，利用它可以对图片进行多种形态算法操作，很好用。-The Image Morphology app is an interactive exploratory environment, with which you can try different morphological operations and structuring elements on your image. This app supports most morphological
Homography Estimation Techniques
- The estimation of the homography between two views is a key step in many applications involving multiple view geometry. The homography exists between two views between projections of points on a 3D plane. A homography exists also between projections
Edge-Detection-master
- This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential