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文件名称:CGfft
介绍说明--下载内容来自于网络,使用问题请自行百度
Within each folder, first run gendata.m (in Matlab) to generate the appropriate data files. Then, run gclabel.cpp to estimate the shadow map and normal field. Finally, run genheight.m in Matlab to integrate the normal field. The light source directions and some other parameters are hard coded in gclabel.cpp.
For other datasets of your own, you can generate the input files and the graph cuts optimization code similar to the examples shown above.
For other datasets of your own, you can generate the input files and the graph cuts optimization code similar to the examples shown above.
相关搜索: Graph Cuts matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
padMatrix.m
padPatch.m
cgLearnFFT.m
compute_h_noLoop2.m
normalize_h.m
padPatch.m
cgLearnFFT.m
compute_h_noLoop2.m
normalize_h.m
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