Description: 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 Platform: |
Size: 919839 |
Author:zhao nan |
Hits:
Description: 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 Platform: |
Size: 919552 |
Author:zhao nan |
Hits:
Description: 对贝叶斯抠图的思想进行实现，VC下编的，可以对照片进行前景抠图-Cutout of Bayesian thinking to achieve, VC under, and can carry out the prospect of Photo Cutout Platform: |
Size: 150528 |
Author:徐元浩 |
Hits:
Description: implement paper A Bayesian Approach to Digital Matting
贝叶斯抠图 matlab code-implement paper A Bayesian Approach to Digital Matting Bayesian Cutout matlab code Platform: |
Size: 1019904 |
Author:changfeng |
Hits:
Description: importance of bayesian approach is described clearly and comparison done with many other methods. Platform: |
Size: 233472 |
Author:kavi |
Hits:
Description: 贝叶斯抠图，依次打开原图和trimap图，点抠图即可运行。绝对能够运行，另外就是有些调试信息没有去除，大家运行时不用理就行。再鄙视那些上传源码不完整的，浪费人感情！-Bayesian matting, and then click open the original image and the diagram, point matting to run. Definitely be able to run, the other is not some place debugging information, we do not run on the line manager. Contempt for those who do not re-upload the full source code! ! Platform: |
Size: 11812864 |
Author:yuan |
Hits:
Description: 基于贝叶斯的抠像算法，通过一个最大似然的标准去估计透明度-A Bayesian Approach to Digital Matting，uses a maximum-likelihood criterion to estimate
the optimal opacity Platform: |
Size: 5713920 |
Author:士大夫 |
Hits:
Description: 这个程序是用的贝叶斯来进行抠图！可以是彩色图也可以是灰度图！-This program is using Bayesian matting! May be a color image can also be grayscale! Platform: |
Size: 2470912 |
Author:小西 |
Hits:
Description: 是利用贝叶斯方法进行自然图像抠图的源代码，在visual c++平台上运行-Is the use of Bayesian methods for natural image matting of the source code, running on a platform in the visual c++ Platform: |
Size: 8358912 |
Author:木木 |
Hits:
Description: 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 approach models both the
foreground and background color distributions with spatiallyvarying
sets of Gaussians) Platform: |
Size: 7168 |
Author:sunjuan 12324 |
Hits:
Search - Bayesian Matting