src
所属分类：图形图像处理
开发工具：Visual C++
文件大小：996KB
下载次数：432
上传日期：2008-04-13 20:40:01
上 传 者：
qazplmvb
说明： 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)
文件列表:
nipun src.3\src\addvariance.m (285, 2004-11-30)
nipun src.3\src\bayesianMatte.m (3058, 2004-11-30)
nipun src.3\src\bayesianMatteFG.m (2287, 2004-11-30)
nipun src.3\src\bayesianMatteUpdate.m (2471, 2004-11-30)
nipun src.3\src\bayesianOptimise.m (5299, 2004-11-30)
nipun src.3\src\bayesianOptimiseCnstntColor.m (4786, 2004-11-30)
nipun src.3\src\bayesianOptimiseDifference.m (4783, 2004-11-30)
nipun src.3\src\clamp021.m (160, 2004-11-30)
nipun src.3\src\computeMeanSigma.m (959, 2004-11-30)
nipun src.3\src\computeNbrhooddata.m (3532, 2004-11-30)
nipun src.3\src\computeNbrhooddataOptimized.m (3641, 2004-11-30)
nipun src.3\src\extractBoundary.m (755, 2004-11-30)
nipun src.3\src\images\alpha.png (23304, 2004-11-30)
nipun src.3\src\images\input.png (379924, 2004-11-30)
nipun src.3\src\images\input2.jpg (323331, 2004-11-30)
nipun src.3\src\images\input3.png (234118, 2004-11-30)
nipun src.3\src\images\mask.png (13152, 2004-11-30)
nipun src.3\src\images\mask2.png (13698, 2004-11-30)
nipun src.3\src\images\mask3.png (2571, 2004-11-30)
nipun src.3\src\images\Thumbs.db (10752, 2004-11-30)
nipun src.3\src\kmeans-adapt.m (26099, 2004-11-30)
nipun src.3\src\likelihood.m (341, 2004-11-30)
nipun src.3\src\runbayesian.m (524, 2004-11-30)
nipun src.3\src\separateClusters.m (206, 2004-11-30)
nipun src.3\src\updateboundary.m (1234, 2004-11-30)
nipun src.3\src\writeFBalpha.m (647, 2004-11-30)
nipun src.3\src\images (0, 2008-04-13)
nipun src.3\src (0, 2008-04-13)
nipun src.3 (0, 2008-04-13)
files:
bayesianMatte: Does the entire bayesian matting
bayesianOptimise: implements the bayesian optimization for each pixel for natural image matting.
bayesianOptimiseCnstntColor: for constant color matting
bayesianOptimiseDifference: for difference matting
computeNbrhooddata: computes neighbourhood values and weights for each pixel.
addvariance: adds a given variance to a previous estimate.
computeMeanSigma: computes weighted mean and sigma of a given data and weights.
likelihood: computes likelihood of a given estimate
extractBoundary: extracts boundary between the known and unknown values.
updateboundary: updates the boundary between the known and unknown values for a given pixel.
runbayesian: a sample script to run the code
Extras:
bayesianMatteFG: This programme just runs the coude by marching out from the foreground region. I tried this just to see if resluts improved but it didn't work well.
bayesianMatteUpdate: This was to improve a previously esimated matte.
clamp021.m: Just to clamp values less than 0 and greater than 1.
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