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dataset1

于 2021-03-16 发布
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下载积分: 1 下载次数: 2

代码说明:

说明:  阴影3D重建,对于人脸有效,基于yale2BDB(SFS, effective for face, based on yale 2 B database)

文件列表:

dataset, 0 , 2020-11-06
dataset\dataset_offline, 0 , 2020-10-26
dataset\dataset_offline\.DS_Store, 6148 , 2020-10-08
dataset\dataset_offline\P1, 0 , 2020-11-06
dataset\dataset_offline\P1\.DS_Store, 6148 , 2020-10-08
dataset\dataset_offline\P1\1.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\10.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\2.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\3.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\4.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\5.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\6.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\7.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\8.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\9.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P1\estimate_albedo_illumination.m, 514 , 2020-10-18
dataset\dataset_offline\P1\t1t.m, 1207 , 2020-10-18
dataset\dataset_offline\P1\test.txt, 121 , 2020-10-07
dataset\dataset_offline\P1\train, 0 , 2020-10-26
dataset\dataset_offline\P1\train.txt, 84 , 2020-10-08
dataset\dataset_offline\P1\train\1.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\2.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\3.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\4.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\5.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\6.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\train\7.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P1\z.mat, 215364 , 2020-11-06
dataset\dataset_offline\P2, 0 , 2020-11-06
dataset\dataset_offline\P2\.DS_Store, 6148 , 2020-10-08
dataset\dataset_offline\P2\1.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\10.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\2.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\3.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\4.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\5.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\6.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\7.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\8.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\9.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P2\test.txt, 121 , 2020-10-07
dataset\dataset_offline\P2\train, 0 , 2020-10-26
dataset\dataset_offline\P2\train.txt, 84 , 2020-10-08
dataset\dataset_offline\P2\train\.DS_Store, 6148 , 2020-10-07
dataset\dataset_offline\P2\train\1.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\2.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\3.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\4.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\5.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\6.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\train\7.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P2\z.mat, 216362 , 2020-11-06
dataset\dataset_offline\P3, 0 , 2020-11-06
dataset\dataset_offline\P3\.DS_Store, 6148 , 2020-10-08
dataset\dataset_offline\P3\1.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\10.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\2.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\3.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\4.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\5.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\6.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\7.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\8.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\9.bmp, 29302 , 2020-11-06
dataset\dataset_offline\P3\test.txt, 121 , 2020-10-07
dataset\dataset_offline\P3\train, 0 , 2020-10-26
dataset\dataset_offline\P3\train.txt, 84 , 2020-10-08
dataset\dataset_offline\P3\train\1.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\2.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\3.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\4.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\5.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\6.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\train\7.bmp, 29302 , 2020-10-08
dataset\dataset_offline\P3\z.mat, 213886 , 2020-11-06
dataset\demo.m, 374 , 2020-11-06
dataset\getD.m, 331 , 2020-11-05
dataset\readme.txt, 248 , 2020-11-06
dataset\rendering.m, 1579 , 2020-11-06
dataset\report.pdf, 1170186 , 2020-11-06
dataset\training.m, 1989 , 2020-11-06

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  • wenjian
    matlab提取图像的纹理特征,包括方差、熵、角二阶矩等特征。(matlab extract the texture features, including variance, entropy, angular second moment and other features.)
    2011-04-21 15:32:24下载
    积分:1
  • BM3D-master
    BM3D去噪算法开源代码,不是MATLAB的保密脚本文件,可更改(BM3D,image denoising algorithm)
    2021-04-27 20:28:44下载
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    积分:1
  • Huffman
    完成流程编码和huffman编码,适合做图像编码的熵编码,只要调整接口就好。(Complete the process encoding and huffman coding, image coding suitable for entropy coding, as long as the adjustment of the interface is like.)
    2010-12-24 12:00:13下载
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    用vibe算法提取动态背景的前景信息,背景为白色(Vibe algorithm is used to extract foreground information of the dynamic background, the background is white)
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    Kullback-Leibler Importance Estimation Procedure利用Matlab程序实现图像间KL散度的阈值分割(Kullback-Leibler Importance Estimation Procedure procedure using Matlab implementation KL divergence between the image of the threshold segmentation)
    2009-03-11 13:37:35下载
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  • tezhengtiqu
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    根据CVPR最佳论文实现的基于暗通道的图像去雾算法(含soft matting),以及算法改进:包括对色彩失真的改进以及一种达到soft matting效果的快速算法(According CVPR Best Paper realized based on dark channel images to fog algorithms (including soft matting), and algorithm improvements: Improvements include color distortion as well as a way to achieve fast algorithm for soft matting effect)
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    Ransac拟合直线和最小二乘法拟合的比较,对初次接触ransac的读者帮助很大(Ransac fitting straight line and the least-squares fitting of the comparison, the initial contact with the readers of great help to ransac)
    2009-12-09 18:37:40下载
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