搜索资源列表
matting.tar
- 最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议-latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference
Hillman_2005_colourline
- 是有关matting的Hillman的算法的解释和说明，含有此算法的实验效果，可以检测出毛发等-the matting of the algorithm Hillman explanation, The algorithm contains the experimental results can be detected in hair, etc.
ABayesianApproachtoDigitalMatting
- 是一个关于图像matting的新的贝叶斯的方法，04年新提出来的，比以前的几种方法效果要好-is an image matting on the new Bayesian method, in 04 new proposal. Several than the previous method is better
Grabcut
- 此為新的image matting技術,使用者只需對前景部份框出方形區域,系統便會自動擷取出影像
CVPR06_matting
- IEEE CVPR06的论文<A closed form solution to Natural Image Matting>的源代码
CVPR06_matting
- IEEE CVPR06的论文<A closed form solution to Natural Image Matting>的源代码
SegTool
- lazy snapping的算法，是image matting的一种方法
PoissonMerging
- implement siggraph poisson matting 数字抠图 核心代码
src
- implement paper A Bayesian Approach to Digital Matting 贝叶斯抠图 matlab code
KNN Matting
- KNN算法实现的抠图程序，包含数据集，使用了KD树实现KNN(KNN algorithm to achieve the matting process, including data set)
matting
- 使用opencv开发，实现图像抠图，将需要的局部图像提取处理(Robust Matting 1. OpenCV 2. MTL library (for sparse matrix) 3. Intel Math Kernel Library (to solve linear equation by conjugate gradient method))
SharedMatting
- 图像抠图算法学习 - Shared Sampling for Real-Time Alpha Matting(Shared Sampling for Real-Time Alpha Matting)
Three-layerGraphFramework_CVIU2017
- image matting latest work
WeightedColorTextureMatting_CVPR12
- 利用纹理加权值进行阿尔法通道预估，CVPR2012年论文源代码。(the matlab code implemetation for the paper in CVPR2012: "Weighted Color Texture Matting")
$RC7F9VJ
- 抠图算法，输入原始图片和trimap图片，即可对图片进行前后景分离，进而完成抠图的任务。(image matting algorithm)
knn-matting-master
- knn matting ， 利用knn进行图像哦让那个和，效果很不错，在matlab上跑平均一张图片耗时5秒，还有改进的空间；(knn matting for images which has a juicy result and also take almost 5 seconds on matlab;)
knn-matting
- 抠图算法源代码，是最早的那种抠图算法，既抠图算法的鼻祖(Matting algorithm source code)
alphaMatting
- 基于alpha matting的抠图技术(Alpha matting based matting techniques)
Bayesian-Matting-master
- 贝叶斯框架抠图,高斯分布，采样，最大似然率，三分图，前景区域，北京区域，未知区域(proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel of the foreground element. Our approac
Matlab贝叶斯抠图 Bayesian Matting
- Bayesian Matting 2001 IEEE 个人稍作修改 附带测试图片 Matlab 2018Rb 亲测可用