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IEEE CVPR06的论文<A closed form solution to Natural Image Matting>的源代码
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IEEE CVPR06的论文<A closed form solution to Natural Image Matting>的源代码
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This package contains an implementation of the matting algorithmdescribed in the CVPR2006 paper:"A Closed Form Solution to Natural Image Matting" .,This package contains an implementation of the matting algorithmdescribed in the CVPR2006 paper: "
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关于soft matting的MATLAB代码-A closed form solution to Natural Image Matting
A. Levin D. Lischinski and Y. Weiss
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叙述了多种matting算法 包括贝叶斯 泊松 closed-form spectral matting等-Described a variety of matting algorithm including the Bayesian Poisson closed-form spectral matting on, etc.
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The missing code with resources on http://www.alphamatting.com, matlab implementation for [1] A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting.
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自己修改的基于closed-form的程序，对外国程序在时间上有两倍的改善，能对在复杂背景下的图片，通过画一些简单的前景线，背景线，抠图出前景-it is about matting foreground when the interested ared is located under complixed background,and then choosing some other beautiful background,you can create new image,which bri
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基于价值函数的数字图像抠图，对应ieee 文章：a closed form solution to natural image matting-image matting
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《A Closed-Form Solution to Natural
Image Matting》一文的代码，可用于图像抠图，抠图效果比photoshop好-《A Closed-Form Solution to Natural
Image Matting》image soft matting
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与论文a closed_form_solution to natural image_mating所提出方法对应的代码实现图像提取-image matting with a closed form solution
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这是国外大神写得Close-form matting算法的源代码。有的会出现运行时内存溢出。亲测好使-This is a large foreign god written Close-form matting algorithm source code. Some will be running out of memory. Pro-test so that
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csdn上下载的闭形式抠图算法代码，Matlab实现。-A closed form solution for matting
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《A Closed Form Solution to Natural Image Matting》文章源代码- A Closed Form Solution to Natural Image Matting
by A.Levin D.Lischinski and Y.Weiss
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In this .rar file you can find closed form matting in matlab and its using natural images.
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Image matting is the extraction of a foreground object from
an image and determination of the transparency of each pix-
el. Matting is inherently an ill-posed and underconstrained
problem. Therefore, some assumptions need to be made to
solve
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