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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
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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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0 个回复

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    说明：  形态学方法区域分割，利用区域生长算法，实现区域分割(Morphological method for region segmentation and region growing algorithm for region segmentation)
    2020-06-21 19:20:01下载
    积分：1
  • 程序
    说明：  图像配准，控制点配准，边缘检测，。。。。。。。。。。。。。。。(image registration, edge detect, hough line detect,)
    2021-01-23 15:35:48下载
    积分：1
  • xinhaochuli
    近期成果，与大家分享：奇异值分解、小波降噪、zoom细化 谱峭度 和滤波器设计，共勉(Recent achievements to share with you: singular value decomposition, wavelet noise reduction, zoom refined spectral kurtosis and filter design, encouragement)
    2013-10-10 10:26:51下载
    积分：1
  • dct-svd
    说明：  dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏(a kind of watermarking algorithm in DCT-SVD domain)
    2010-04-18 21:48:32下载
    积分：1
  • fig2cad
    matlab生成的fig图纸转换为DXF文件(Converting fig drawings generated by MATLAB into DXF files)
    2020-07-12 10:28:58下载
    积分：1
  • ssim
    SSIM函数。一种衡量两幅图像相似度的新指标，其值越大越好，最大为1。(SSIM function. A measure of image similarity two new indicators, the greater its value better, a maximum of 1.)
    2013-10-14 09:51:31下载
    积分：1
  • jubujunheng
    此代码从局部上来使用直方图均衡来达到增强图像的目的，非常的好，而且已经调试好了无差错(This code from the local authorities to use histogram equalization to achieve the purpose of enhanced images, very good, and has good debugging error-free)
    2008-05-17 09:34:33下载
    积分：1
  • gaussian_model
    模式识别中高斯模型，一个比较有用的用matlab实现的程序代码(pattern recognition Gaussian model, a useful comparison with the realization of the Matlab code)
    2006-09-08 20:53:54下载
    积分：1
  • GAMP
    基于GA和MP的信号稀疏分解,算法速度比元来的有很多改进。(Based on GA and MP sparse signal decomposition, the algorithm faster than the yuan to have many improvements.)
    2008-04-10 10:44:05下载
    积分：1
  • BRISQUE_release
    若干经典的无参考图像质量评价算法matlab版本，附带详细的注释。(Several classic non reference image quality evaluation algorithms matlab version, with detailed notes.)
    2017-10-13 17:20:13下载
    积分：1
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